NTNU, Norway invites online Application for various Postdoctoral Fellowship in their different Departments. We are providing a list of Postdoc Fellowship positions available atNTNU, Norway
Eligible candidate may Apply as soon as possible.
(01) PhD Degree – Fully Funded
PhD position summary/title: PhD Fellowship in “Intra-body Semantic Communications – Theory and Principles for Receiver Design”
CLIPEUS aims at creating a communications network among man-made implantable devices and the natural cells inside the body under the novel communication paradigm called Internet of Bio-NanoThings, where sensing, actuation, and computing processes are tightly coupled to pervasively, perpetually, and precisely sense, process, control, and exchange health information of the body in real-time to defend it against infections. The project focuses on detecting bacterial infections inside the body based on biosensors. The biosensor will be extensively tested and ameliorated in-vitro cell culture experiments as a first step before in vivo experiments. The CLIPEUS project has a PhD student, a Postdoc and a Researcher and is looking to recruit a new PhD student to complete the team.
Deadline : 01.10.24
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Privacy Preserving Machine Learning
The candidate will work in a collaboration between the university, the internationally accredited registrar and classification society DNV, and Cancer Registry of Norway. The candidate will be analyzing and developing algorithms for privacy preserving health registry data access. The goals of such access include supporting registry operations as well as health care research. Of particular interest in this context are differentially private algorithms for federated statistical model parameter estimation.
The position is funded by the Norwegian Research Center for AI Innovation and will be based in the Cryptology division of the Department of Information Security and Communication Technology.
Your immediate leader is the head of the cryptology division in the Department of Information Security and Communication Technology.
Deadline : 01.10.2024.
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(03) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in molecular dynamics simulation in mineral processing – IV-99/24
We are seeking a highly motivated and talented candidate for a 3-year PhD position in molecular dynamics simulation with a focus on mineral processing. This position offers an exciting opportunity to contribute to cutting-edge research aimed at advancing our understanding of mineral behavior and interactions at the molecular level. Sustainable mineral processing is critical for the efficient and environmentally friendly extraction of critical raw materials, essential for the green shift and the development of renewable energy technologies. The successful candidate will work within a multidisciplinary team, utilizing advanced simulation techniques to explore the fundamental processes governing mineral processing.
The successsful candidate will be supervised by Professor Pshem Kowalczuk and will be part of the Mineral Processing Laboratory at NTNU (Mineral processing Laboratory – IGP – NTNU). Research and education at the Mineral Processing Laboratory at NTNU provide vital knowledge on sustainable processing of ores and minerals and the recovery of valuable components from industrial waste. The laboratory is unique in Norway and plays a strategically important role in the shift towards a greener and more circular economy.
Deadline : 30.09.2024
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Human-centric future skills in manufacturing
The rise of AI and automation as competitors to human labor poses a threat to the employability of workers, particularly those whose tasks are highly susceptible to automation. Recent studies indicate that generative AI could impact 19% of the workforce, with over 50% of their tasks being automated, potentially leading to job losses in specific sectors. Despite this anticipated outcome, the World Economic Forum reports that only 16% of manufacturers implementing AI in their production processes have achieved their AI-related targets. Nonetheless, technology and AI can also enhance and support workers in various tasks, as manual labor remains integral to many work systems.
The Production Management research group at NTNU’s Department of Mechanical and Industrial Engineering is internationally recognized for its research in human-centered manufacturing and logistics. This PhD position aims to expand the group’s focus on understanding human-technology complementarity. The core of digital manufacturing innovation lies in human-centered and human-driven manufacturing processes, encompassing technical aspects of human-machine interaction, upskilling, reskilling, work and business organization, as well as regulations and standards. This research is part of the EU SkillAIbility project, conducted in collaboration with research and policy partners.
Your research will contribute to the development of human-centric AI methodologies, focusing on the necessary skills and training. You will define criteria based on sociotechnical systems, incorporating human factors and technology applications, to develop methodologies for human-centric design. Additionally, you will assist in creating learning materials and teaching activities aimed at equipping workers with the skills needed for future factories. The Logistics 4.0 Lab at NTNU will provide various technologies, such as collaborative robots and AGVs, for research and demonstration purposes in learning activities.
Deadline : 30.09.2024
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD in Economic Geography, specializing in geographies of labour markets in the energy transition
The Department of Geography at NTNU has a 3-year vacancy for a PhD position in economic geography, contributing to the project Making the Green Shift Work for Regions (GSW). Funded by the Research Council of Norway’s Welfare, Culture and Society programme, the GSW project seeks to better integrate localities and regions, labour markets and working lives as central elements within the green shift, rather than merely as outcomes of the energy transition. The overall objective is to help develop a new understanding of how regional labour markets are adapting to the challenge of green shift, using the example of Oil & Gas specialised regions.
Drawing on a geographical labour markets perspective, the GSW project aims to better understand how labour markets processes vary between places, operating and performing differently based on their industrial histories, social and institutional contexts, and regulatory settings. In particular, the research will explore and develop the regional skills ecosystem as an analytical framework to help develop both theory and policy prescription. As the green shift unfolds, the ways in which different regional skills ecosystems adapt and change will vary and have important implications for processes of regional competitiveness and labour market inclusion.
In collaboration with the project’s research partners Newcastle University, Sintef Digital and FAFO, the NTNU-led PhD will provide research insights into the evolution and adaptation of the regional skills ecosystems within and across the O&G and green energy sectors. Particularly important will be identifying the evolving institutional contexts, structure and configuration of regional Oil and Gas labour markets and the extent to which key actors’ develop adaptive strategies and responses to the shifting market and emerging growth of green energy activities. Within which, the PhD will contribute to the project’s novel international comparative analysis of energy transition in carbon intensive regions across Norway (Rogaland, Trøndelag) and Scotland (Aberdeen and North East Scotland). Applicants are encouraged to conduct research stays abroad and acquire mobility funds from Research Council Norway.
Deadline : 10.09.2024
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(06) PhD Degree – Fully Funded
PhD position summary/title: Ph.D.-candidate in Hazard and Resilience assessment of Critical transport infrastructure
Norwegian ferry quays are frequently exposed to extreme weather (environmental) and harsh operational loads, leading to sudden appearance of structural damage. Magerholm Research Quay (MRQ) was established in 2023 as a collaboration project between Møre og Romsdal County and NTNU, instrumented with vibration sensors for the purpose of developing a structural health monitoring system (SHM) to support decisions on asset maintenance. The objective is to enhance the resilience of ferry quays under the circumstances of unexpected hazards by means of implementing a monitored-enhanced resilience assessment system that is capable of providing sufficient information to support decisions from a very limited number of sensors. Your focus will be to investigate which hazards has the largest potential for affecting the functionality of ferry quays. More specific tasks are listed below.
The PhD position will be within our new research project SARTORIUS, which is funded by the Research Council of Norway. The aim of the project is to assess the ability for ferry quays to withstand and respond to hazard events, involving timely damage detection and accounting for the time needed to reinstate the structure to normal functionality. The project shall provide recommendations for how to best monitor these structures for maximized value of information. You will be working closely with a team of 3 other PhD candidates, professors and researchers from NTNU, The Norwegian Institute of Transport Economics and KU Leuven in Belgium. You will collaborate with Expert asset managers from Norwegian Public Roads Administration and Møre og Romsdal County.
As a member of the project, you will participate in reporting and publishing the work at conferences and in scientific journals. Your working place will be NTNU Ålesund. At our department, (the department of ocean operations and civil engineering) you will be part of a large international research group, counting more than 40 PhD candidates.
Deadline : 08.09.2024
(07) PhD Degree – Fully Funded
PhD position summary/title: Ph.D. Candidate in Geography with focus on climate resilience
The Department of Geography at NTNU is looking for a Ph.D. candidate to join the RETRACE project funded by the Belmont Forum and the Research Council of Norway. RETRACE is an international collaboration that seeks to investigate resilience to climate risks by drawing lessons from the lived experiences of indigenous Arctic and Pacific communities. The doctoral researcher will be part of an international team.
The Ph.D. candidate will be responsible for the collection and analysis of qualitative data on resilience and visions of climate risks from communities in Northern Norway. The candidate is expected to use a narrative approach, to collect and analyze testimonials, memories, experiences, sensitivities and expertise on climate resilience and visions of climate risks from minority/indigenous communities.
The Ph.D. candidate will also contribute to the collection, analysis and presentation of quantitative resilience indicators. RETRACE combines human geography, climate science and Geographical Information Systems (GIS). This is a project involving partners in Norway, France and the United States of America, and it will be important that the candidate has a proactive stance toward cooperation with the partners. Based at the Department of Geography, the candidate will find an international, friendly and supportive environment. Some travel for fieldwork, conferences and project meetings is to be expected.
Deadline : 05.09.2024
(08) PhD Degree – Fully Funded
PhD position summary/title:PhD Candidate in Project management for sustainable health care environments
We are looking for a PhD candidate with a passion for sustainability and eagerness to develop deeper understanding of how practice can continue to implement sustainability in complex building construction projects. Our focus is on how hospitals in Norway can move in a more sustainable direction when financial resources are restricted and implement changes that ensure that built health care environments contribute to a sustainable, circular and regenerative world. Relevant themes for this PhD candidate include decision-making, users’ needs, innovation, organisational learning and the like.
The candidate will have the opportunity to continue developing a framework for sustainability knowledge to ensure it fits organizations who wants to develop and implement common understanding and actions within the built environment. The research shall have particular focus on health care facilities, such as hospitals. The focus for this PhD candidate is not directly related to the facilities and how to construct them. The focus is on understanding the perspectives of different roles and actors that links to this issue at hand. Based on this understanding it is expected that the PhD candidate develops frameworks and knowledge that others (later research projects and practitioners) can use to improve their strategies and processes and as such advance their journey towards a sustainable, circular and regenerative built environment.
Researchers and construction industry actors have desire to create sustainable business models and value chains. Many innovative solutions and state-of-art ideas exist that tend to be expensive. The high cost makes the funding organizations reject such ideas and solutions, thereby hampering the transformation into a sustainable future. So, what can we do? What projects and actions are possible to implement? In this PhD project, we aim to develop deeper understanding for the possibilities enabling project owners to contribute to a sustainable built hospital environment when they are constrained by limited funding.
Deadline : 02.09.2024
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(09) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Environmental Humanities, Language Education and Artificial Intelligence
The Department of Teacher Education, Section for English and Foreign Languages, offers a full-time, 3-year position as a Ph.D. candidate to take part in the project “Climate Change, Language Education, and AI” in cooperation with the research group on technology and learning in education: NTED-DIGIT. The project leaders are Associate Professor Tom Nurmi, Associate Professor Fredrik Mørk Røkenes, and Postdoctoral Researcher Han Han.
Although AI has the potential to be a tool in climate modeling and remediation efforts, its extractive resource and supply chain costs, e-waste pathways, and carbon footprint actively contribute to pollution and global warming. This project examines how language education can be a site of critical information literacy around environmental climate research and the cost/benefits of AI technologies. The “Climate Change, Language Education, and AI” project explores how AI ed-tech (e.g., text-to-image generators DALL-E/MidJourney) influences students’ epistemic beliefs about environmental climate research and (mis)information in English in the school while also investigating the pedagogical potential of current trends in AI-climate-related natural sciences and humanities projects (e.g., biodiversity monitoring, pollution detection, AI in eco-literature, etc.).
Deadline : 02.09.2024
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(10) PhD Degree – Fully Funded
PhD position summary/title: Two PhD Candidates in Modern European Migration History
Migrants’ uneven access to social welfare is one of the most pressing concerns in today’s European Union. InternalFortress will uncover the role that this issue played in the early history of regional integration in the European Economic Community (EEC), focusing on social security, union participation, and skill development.
European rules on ‘freedom of movement’ allowed migrant workers from an EEC member state to claim social protection anywhere in the bloc. The PhD case studies will hone-in on one specific national context – either France or West Germany – to trace how these general rules that were set in Brussels were carried out or contested in practice. What steps were taken in national and local institutions to help European migrants gain access to social services on the ground or to block them from doing so? Who participated in that process, for example, state administrators, employers, unions, NGOs, churches, or migrant-led mutual aid organizations? Did these actors differentiate between different groups of European and non-European migrants?
The PhD fellows are encouraged to develop their own approach to these questions, for example by focusing on a particular group of migrants, a locality, an economic sector, or an organization. These in-depth national case studies will complement work by the PI on European and international migration policy and work by the project’s postdoc on Europe’s place in global NGO networks. The team members will work together to build a rich source base that will combine official documents with material from private associations such as Caritas or International Social Service.
At NTNU’s Department of Modern History and Society, the project team will be housed within a rewarding professional environment with an active community of PhD candidates and postdocs.
Deadline : 01.09.2024
(11) PhD Degree – Fully Funded
PhD position summary/title: PhD position in applied physics/fluid mechanics
We are looking for excellent applicants for a PhD position at the Thermo-Fluids research group, Department of Energy and Process Engineering, NTNU Trondheim.
The position has a duration of 3 years, with start-up no later than January 2025. The supervisor will be Professor Simen Å. Ellingsen whom you may contact for further information.
The PhD candidate will be primarily affiliated with the research project “Small flows with big consequences: Wave-, Turbulence- and Shear current-Driven mixing under a water surface” (WaTurSheD) financed by the European Research Council (ERC), whose overall goal is to understand the mutual interactions between waves, currents and turbulence (WCT) in the uppermost layer of the ocean through experimental, numerical and theoretical research. WTC interactions play an important role in the weather and climate systems by mixing the waters, controlling the exchange of heat, gas, energy and momentum between ocean and atmosphere, as well as the transport of microplastics, pollutants and nutrients. Read a recent experimental article here.
The candidate’s experimental project will form part of a greater experimental campaign, and the work will be carried out in collaboration with a team of PhD students, postdocs and researchers. The candidate will be part of an excellent team of PhD students and postdocs in WaTurSheD and the closely related project GLITR (also ERC, led by Professor Jason Hearst), and will collaborate closely both within the project groups and with external collaborators in Europe and the USA.
There is considerable flexibility in tailoring the project to the candidates’ particular strengths and interests, so a range of different educational backgrounds in physics and engineering can be relevant. Significant experience with experimental laboratory work is a significant advantage, though not an absolute requirement so long as the candidate has a strong background in maths, general physics and programming. Experimental methods currently in use are, among others, particle-image velocimetry, laser-induced fluorescence, free-surface synthetic schlieren methods and Fourier-transform profilometry. Previous knowledge of these methods, although beneficial, is not required.
Deadline : 01.09.2024
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(12) PhD Degree – Fully Funded
PhD position summary/title: Ph.D. Candidate in Geography with a focus on Extreme weather-related Compound Hazards
The Department of Geography at NTNU has a vacancy for a 3-year Ph.D. position in Geography with a focus on ‘Extreme weather-related Compound Hazards: Impacts, Risks, and Sustainable Adaptation in a changing climate (ECH-IRSA)’.
We are looking for a motivated candidate with a keen interest in investigating and understanding the dynamic processes behind weather-related compound hazards that characterize the current changing climate. Understanding these compound weather events is crucial for assessing risks, preparing for impacts, and building better forecast models in the face of climate change and extreme weather conditions, as well as essential for identifying better adaptation strategies that enhance a more sustainable community resilience.
The Ph.D. candidate will be part of the Spatial and Temporal Analytics research group. The group bases its core activities on the development of new or the adaptation of existing tools and techniques for spatio-temporal analytics, such as representation, exploratory visualization and theories and mathematical model development of spatio-temporal data. Support will be given also from members of the Earth Surface Science research group that works mainly in the physical geography domain, focusing on investigating causes, mechanisms and impacts of different environmental hazards.
Becoming a member of our research groups will make you part of an exciting and stimulating international and multidisciplinary academic environment, open and inclusive, with dedicated colleagues willing to support with theoretical and practical experience, for you to excel in your academic career.
Deadline :29.08.2024
(13) PhD Degree – Fully Funded
PhD position summary/title: Ph.D. Candidate in Work and Organizational Psychology
We have a vacancy for a four-year Ph.D. position at the Department of Psychology in the area of Work and Organizational Psychology. The Ph.D. student will take part in a research project focused on occupational anxiety and employee health promotion. Specifically, the successful candidate will contribute to developing a measure of occupational anxiety, investigating the predictors and outcomes of occupational anxiety longitudinally, and carrying out an intervention for occupational anxiety. Other aspects of job-related distress may be examined as well.
We anticipate the starting date for the candidate to be early 2025. The candidate’s broader goal is to complete a doctoral education up to the validation of a doctoral degree. The specific objectives and research questions linked to the Ph.D. project will be developed in consultation with the supervisors during the first months of the doctoral training.
Deadline : 26.08.24
(14) PhD Degree – Fully Funded
PhD position summary/title: PhD position in artistic entrepreneurship
We are looking for applicants with a drive to explore, articulate and document the capacity of art and culture and creativity not only to adapt and contribute but to drive societal transformation processes.
We think of artistic entrepreneurship as a dynamic agency that promotes innovative collaboration between artists, designers, researchers, public and private actors, and that transcends traditional boundaries to create new possibilities for action. Artistic entrepreneurship involves a collective effort to act together across sectors, disciplines, and society’s actors. Artistic entrepreneurship encourages shared response, shared production methods and creative solutions, and inspires individuals to address society’s most pressing challenges.
The PhD position will offer the successful candidate a unique opportunity to get involved in artistic research at the same time as they investigate the possibilities for entrepreneurship and innovation across disciplines with an artistic starting point. By building a bridge between the expertise at research environments in the NTNU department of design and the Trondheim academy of Fine art, the position will provide a comprehensive framework for examining the role of the creatives as entrepreneurs and change-makers in today’s society. The doctorate will support, unfold, and document the development of the joint master’s program in artistic entrepreneurship and give input to the Horizon Europe-funded research project PACESETTERS, https://pacesetters.eu.
The position is expected to make use of the TV-studio research infrastructure available in the department and interact with and connect to the PACESETTERS research project and the artistic entrepreneurship master program. The position thus requires a high level of commitment to contribute to an artistic research environment that experiments at the intersections of multiple forms within the framework of knowledge production through the arts.
Deadline : 25.08.2024
(15) PhD Degree – Fully Funded
PhD position summary/title: PhD in the Gonzalo Cogno Group
The Neural Dynamics and Computation group, led by Soledad Gonzalo Cogno, is a computational neuroscience group recently established at the Kavli Institute for Systems Neuroscience.
The institute is part of the Faculty of Medicine and Health Sciences at NTNU. It was established as a Centre of Excellence in 2002, 2012, and again in 2023. Our new Centre of Excellence, the Center for Algorithms in the Cortex will be funded for 10 years by the Norwegian Research Council. The scientific goal of the Kavli Institute for Systems Neuroscience is to understand neural circuits and systems in the cortex and to identify neural-population mechanisms underlying high-level cognitive functions.
Deadline : 25.08.2024
(16) PhD Degree – Fully Funded
PhD position summary/title:PhD Candidate in in sustainable and profitable business models development
For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree.
The position is anchored at NTNU in Ålesund and is part of the multi-partner SFI Harvest project – Technologies for sustainable biomarine value creation. We are looking for candidates with a background or experience within at least one of the following areas: Business strategy, sustainability / environmental management, sustainable supply/value chain management, management rules for the fisheries, marketing mechanisms for fish food products. You will report to the Head of Department.
Sustainability within the value chains in biomarine sector becomes and increasingly overall requirement for production of sustainable fish products.
The main purpose of the PhD is to build a prospective and comprehensive business model for sustainability for the development of sustainable feed production.
Deadline :25.08.2024
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(17) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Reference Systems for a Cyber-Physical Range
Cyber Physical Systems are integral to Critical Infrastructures; however, their architectural and operational features are inadequately represented in current cyber ranges. These ranges are often limited in scope or intentionally focused on specific sections of target systems. The intended utilization of the physical reference environments examined, modeled, and integrated in this study will serve two purposes. These include functioning as educational and outreach demonstrators, as well as serving as experimental platforms for research and training endeavors. The research will be carried out within the context of SFI NORCICS, the research-based innovation Norwegian Center for Cybersecurity in Critical Sectors. These sectors include electricity production and distribution, oil & gas production and distribution, manufacturing, healthcare, industrial production, smart districts. NORCICS follows a holistic, comprehensive and systemic approach addressing people, processes and technology to protect critical sectors throughout the cybersecurity core functions (identify, protect, detect, respond, recover). NORCICS has partners from academia, research, the public sector and the industry
Deadline : 24.08.24
(18) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Real Implementation of Model Predictive Control for Building Heating
Buildings are energy-flexible in the sense that they can move their loads in time, typically to provide services to the electricity or district heating grids (also called demand response). For instance, one key objective can be to decrease energy use during peak hours while maintaining acceptable comfort for occupants. In cold climates, the space-heating is a dominant load and advanced control can adapt this load by changing the indoor temperature in time. Model Predictive Control (MPC) gets increasing interest in performing this control. While this solution has been extensively investigated using simulations (meaning virtual experiments), there are still limited examples where MPC has been deployed and tested in a real building and over a long period. However, real buildings can differ significantly from simulations. Firstly, the amount of measurement data can be limited, and not properly structured or standardized. Secondly, the building may not be built and operated exactly as originally planned. Thirdly, physical phenomena may be more complex in reality than in simulation, for instance regarding the heating system and the occupant behavior. Finally, the existing “legacy” automation system may not be suited. Therefore, this PhD aims to define an MPC setup (or technical pathway) that can support some of these limitations and to test it in a real non-residential building. The final objective is to provide thorough documentation of the test case.
Deadline : 22.08.24
(19) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in AI-powered Digital Monitoring Systems for Small-Scale Fisheries in East Africa
Work package 1 of the Asia-Africa Blue Tech Superhighway (COAST) project aims to develop digital information systems for effective management of small-scale fisheries in Kenya, Zanzibar and Tanzania. These fisheries are multi-species, geographically dispersed and exhibit flexible and dynamic fishing patterns. This makes data collection, stock assessment and data-informed management difficult. To address this, a high resolution near real-time digital catch monitoring system will be designed and implemented, including trackers to be installed on a selection of fishing vessels.
This PhD position will focus on improving the existing monitoring system, and develop dynamic maps of ocean conditions plus predictions of good fishing zones, based on catch and effort data plus partially simulated and partially measured oceanographic data. This system will furthermore be used to provide input to fisheries management though the use of AI methods and control theory.
The position reports to Associate Professor Morten Omholt Alver, [email protected] , who will be the main supervisor. Prof. Damiano Varagnolo will be co-supervisor.
Deadline : 20th August 2024
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About NTNU- Norwegian University of Science and Technology, Norway- Official Website
The Norwegian University of Science and Technology is a public research university in Norway with the main campus in Trondheim and smaller campuses in Gjøvik and Ålesund. The largest university in Norway, NTNU has over 8,000 employees and over 40,000 students. NTNU in its current form was established by the King-in-Council in 1996 by the merger of the former University of Trondheim and other university-level institutions, with roots dating back to 1760, and has later also incorporated some former university colleges. NTNU is consistently ranked in the top one percentage among the world’s universities, usually in the 101–500 range depending on ranking.
NTNU has the main national responsibility for education and research in engineering and technology, and is the successor of Norway’s preeminent engineering university, the Norwegian Institute of Technology (NTH), established by Parliament in 1910 as Norway’s national engineering university. In addition to engineering and natural sciences, the university offers higher education in other academic disciplines ranging from medicine, psychology, social sciences, the arts, teacher education, architecture and fine art. NTNU is well known for its close collaboration with industry, and particularly with its R&D partner SINTEF, which provided it with the biggest industrial link among all the technical universities in the world. The university’s academics include three Nobel laureates in medicine, Edvard Moser, May-Britt Moser and John O’Keefe.
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