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29 PhD Degree-Fully Funded at KTH Royal Institute of Technology, Stockholm, Sweden

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KTH Royal Institute of Technology, Stockholm, Sweden invites online Application for number of  Fully Funded PhD Degree at various Departments. We are providing a list of Fully Funded PhD Programs available at KTH Royal Institute of Technology, Stockholm, Sweden.

Eligible candidate may Apply as soon as possible.

 

(01) PhD Degree – Fully Funded

PhD position summary/title: PhD student in interoperability in power-electronics dominated power grids

You will be part of the power electronics research group within the school of electrical engineering and computer science at KTH. The group does research in several fields, notably high-power electronics for power grids, and wide-bandgap power semiconductors.

The traditional electric power grid is dominated by passive components such as synchronous generators, circuit breakers, and transformers. This worked well with traditional primary energy sources like coal, gas, and nuclear power, which connect to the grid through these large synchronous generators and can be located close to population centers. The future electric power grid will be power-electronics dominated. This is needed to massively connect renewable energy sources (wind and solar power e.g.) as well as energy storage and transmission assets such as high-voltage direct current (HVDC). Grid-connected converters take over the role of the traditional grid control components such as synchronous generators.

Deadline : 28.Feb.2024

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(02) PhD Degree – Fully Funded

PhD position summary/title: PhD student in Applied Mathematics within Optimization & Systems theory

In this project, we will develop theory, methods, and applications for optimal transport problems. Optimal transport is a rapidly growing area that historically mainly was used in logistics and economics, but with recent advances in algorithms and increased computational resources has been utilized in a large number of application areas such as multi-agent systems, machine learning, probability theory, and imaging. In this project we will consider multi-marginal optimal transport problems, a class of generalized optimal transport problems that has been particularly useful for formulating sensor fusion problems and modelling evolutions or flows in particle systems. By utilizing methods and theory from optimization, systems theory, and functional analysis, we will develop new mathematical results, computational algorithms, and apply these results in areas such as traffic flow modelling, imaging, and bioinformatics.

Deadline : 12.Feb.2024

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(03) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in Quantum Skyrmionics

The Materials & Nano Physics Division performs basic and applied research in various scientific areas, including quantum materials. The Ph.D. candidate will be part of the Quantum Technology & Materials group, which works on elaborating and characterizing quantum materials, ranging from superconductors to magnetic topological quasiparticles. Various experiments are conducted in in-house laboratories and large-scale facilities. Over the years, a fruitful collaboration with theoreticians has also been established.

Deadline : 12.Feb.2024

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(04) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in computational cognitive neuroscience

This position offers a unique opportunity to leverage the synergy between experimental and computational approaches to fundamental questions about human cognitive capabilities. In particular, the successful applicant will capitalise on the vibrant interdisciplinary environment sustained by a strategic collaboration between the Division of Psychology at the Department of Clinical Neuroscience, Karolinska Institutet and Computational Brain Science lab, School of Electrical Engineering and Computer Science at KTH Royal Institute of Technology.

Deadline :05.Feb.2024

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(05) PhD Degree – Fully Funded

PhD position summary/title: 5 Doctoral students in Sustainable Materials Engineering5 Doctoral students in Sustainable Materials Engineering

Green Steel for a Fossil-free Future is a major Swedish and EU-financed initiative with objectives to shape advanced theory, models and practical knowledge for transforming the Swedish steel industry.  The intent is to enable the production of new advanced, materials engineered, products – without the use of fossil fuels – in a way that avoids waste and uses recycled and sustainably sourced material inputs.

Deadline : 31.Jan.2024

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(06) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in brain-like computing

The goal of the project is to develop and study brain-like neural network architectures and biologically inspired learning for semi-supervised and unsupervised learning problems. Project tasks are to study relevant literature, design and simulate neural network models, analyse/interpret results and benchmark brain-like architectures against conventional machine learning approaches.Research will be conducted within the EU-project EXTRA-BRAIN Explainable Trustworthy AI for Data Intensive Applications, which is a collaborative effort involving other academic institutions and companies of varying size.You should also actively participate in discussions with project partners, participate in regular meetings, and contribute to writing technical reports and scientific papers.

Deadline : 31.Jan.2024

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(07) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in Incentive-driven Control, Optimization and Learning

With the increasing integration of intelligent systems in human life, it’s urgent to investigate control, optimization, and learning systems coupling with strategic/human agents. Examples of such systems range from transportation systems to human-robot teaming, smart grids, and federated learning. In these mixed-autonomy systems, the human agents, rational and self-interest, actively participate in and significantly influence the operations and dynamics of the systems. To ensure the accuracy and efficiency of these systems, it needs an incentive-driven scheme to motivate and regulate the strategic agents, such that they behave in a voluntary, authentic, and non-malicious way. This doctoral project will target this challenge by studying games and mechanism design in control, optimization, and data exchange among a network of strategic agents. The project will span theory, algorithms, as well as applications in the related fields.

Deadline : 31.Jan.2024

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(08) PhD Degree – Fully Funded

PhD position summary/title: PhD in Voltage control interactions in active distribution networks

The PhD student will within ADVOLCANO project have the opportunity to work in close collaboration between KTH Division of Electric Power and Energy Systems division (one PhD position), KTH Division of Decision and Control Systems, Uppsala University, Division of Systems and Control (one PhD student) and Electric Power System unit from RISE Research Institutes of Sweden with reference group consisting of experts from Swedish electric power industry: Svenska Kraftnät (Swedish TSO), Ellevio (DSO), Vattenfall (DSO), Hitachi Energy Sweden and DLaboratory Sweden.

Deadline : 31.Jan.2024

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(09) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in applied and computational mathematics

The Department of Mathematics at the Royal Institute of Technology seeks applications to a Ph.D student position in Applied and Computational Mathematics within a project on fast numerical methods for wave propagation problems. This is a fundamental problem in many branches of science and engineering involving waves of different kinds, for instance electromagnetics, acoustics, optics and seismology. The project will primarily consider iterative methods for wave propagation problems in the frequency domain, modeled by the Helmholtz equation. In particular it will concern a new type of methods which are constructed around the more fundamental time domain wave equation. Those methods can more easily exploit the power of high-performance computers, which allows the solution of bigger problems. The main goals of the project are to develop algorithms where the iterations converge faster, to obtain a better theoretical understanding of the convergence rate and to apply the methods in applications.

Deadline : 31.Jan.2024

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(10) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student (licentiate) in Modelling of Modular Pod-based Rail and Road Transportation

We are looking for a PhD student who is interested in developing traffic simulation models to enable analysis of future POD-based traffic systems. This PhD project aims to contribute to the state of knowledge in Sweden and Europe, regarding future automated, modular and multimodal POD based mobility systems, that combine the strengths of both planned and flexible (on-demand systems).

Deadline : 25.Jan.2024

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(11) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in AI Machine Learning in Ship Hydrodynamics

The scope of the project encompasses the integration of AI ML methodologies in the field of ship hydrodynamics. The primary focuses are directed towards developing a digital ship design process, building a geometry modification process for ship hull form design, developing a basic decision support system for ship hydrodynamic design, implementing artificial intelligence machine learning methods in ship hydrodynamic design as part of the proposed digital design process. By leveraging AI-driven approaches, the project aims to enhance the efficiency and accuracy of these crucial aspects of ship design, ultimately contributing to more sustainable and technologically advanced vessels in the maritime industry. Through this comprehensive scope, the project endeavors to push the boundaries of ship hydrodynamics and leverage the potential of machine learning for the betterment of ship design practices.

Deadline : 15.Jan.2024

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(12) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in Future Ship Design for Decarbonisation

In the current project, a Digital Twin (DT) as a next-generation solution for ship design and operational optimization is developed that introduces an open virtual testbed for future ship design for decarbonisation. In fact, the DT architecture and its application framework will be a virtual testbed capable of development for different ship types focusing on wind-assisted propulsion ships as the validation and verification test case. The main focuses of the project will be on exploring DT applications in sustainable and digital ship design, developing DT based on a specific architecture and application framework for wind assisted propulsion ships, and implementing the developed digital twin to analyze the impact of decarbonisation technologies (focusing on sails).

Deadline : 15.Jan.2024

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(13) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in machine learning for non-Newtonian turbulence

The goal of this project is to use machine learning to develop wall models in non-Newtonian flows, with the aim of achieving high Reynolds number with high accuracy and a reduced computational cost. In particular, we will use deep reinforcement learning to produce the wall model, in a way that it is consistent with the flow and the numerics. We will also perform simulations of viscoelastic flow in more complex scenarios with the developed wall model. The researcher will have access to the multi-peta scale supercomputing facilities available at KTH, in conjunction with the Swedish e-Science Research Centre (SeRC, www.e-science.se) and will become part of the excellent research environment FLOW (www.flow.kth.se).

Deadline : 15.Jan.2024

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(14) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in optimization and learning in edge computing

The Division of Network and Systems Engineering is looking for a doctoral student with a very strong background and interest in system modeling, optimization, and machine learning. The successful candidate will join a project on developing rigorous, novel tools for the fundamental understanding and engineering design of resilient algorithms for the optimization of distributed network infrastructures. In particular, the focus will lie on the development of algorithms that include machine learning components, within the framework of the TECoSA competence center at KTH. 

Deadline : 15.Jan.2024

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(15) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in Neuromorphic Computing in the IoT-Edge-Cloud Continuum

Brain-inspired systems (also known as neuromorphic systems) combine theories from computer science, hardware design, and neuroscience in order to create computer systems that mimic the human brain. These systems are more energy-efficient compared to classical computer systems and have applications within brain-simulation, machine learning, artificial intelligence, and optimization problems.

We are now looking for a PhD student who will work within an EU project (EXTRA-BRAIN) where neuromorphic systems and spiking neural networks (SNNs) will be used to solve problems inside the future IoT-Edge-Cloud continuum. The position is financed by the EU through the EXTRA-BRAIN project.

Deadline : 15.Jan.2024

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(16) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in Polymer Technology

We are looking for a PhD student eager to work with the big plastic challenges. This includes the use of renewable resources, development of greener synthesis methodologies as well as chemical and mechanical recycling for the product, in an active research environment. Plastics are today irreplaceable materials that enable our lifestyle and a sustainable development. At the same time, plastics have a negative impact on our environment when we utilize depleting resources in their production and because the large volumes of plastic waste generated in linear material streams. For the future, we need to use carbon dioxide neutral building-blocks and create circular material streams by using recyclable products. In this project, building-blocks from chemically recycled plastic waste and renewable resources will be combined and via greener reaction processes we will design and develop a new type of recyclable insulation foam for circularity. This will be enabled using dynamic bonds as the core chemistry, yielding products with the necessary material properties during use while enabling efficient material recycling at the end-of-life. Create circular insulating foams is central, as the energy usage often is household’s largest contribution to greenhouse gas emission, where an efficient thermal insulation contributes economically, socially and environmentally to sustainability.

Deadline : 15.Jan.2024

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(17) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in underwater robotics, machine learning and navigation

KTH Electrical Engineering and Computer Science (EECS) announces a PhD position in the area of machine learning for underwater robot perception at the department of  Robotics, Perception and Learning (RPL) This position is part of the continuation of the Swedish Maritime Robotics Centre (SMaRC) as a new centre SMaRC2.0 starting in 2024. 

The student will join the team working in the Swedish Marine Robotics Centre, SMaRC. A complete robotic system is planned. The specific goal is to use machine learning to fuse sonar and other sensor data collected from multiple autonomous underwater vehicles (AUV) to build representations of the seafloor that will allow the detection of changes to be autonomously reacted to. We have already begun this by collecting much data and applying deep learning to it.  We expect that a novel approach based on both the physics of the sonar and variational inference can yield latent space representations that will go well beyond the current state of the art. 

Deadline : 15.Jan.2024

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(18) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student (licentiate) in norm-critical design of the smart home

The project focuses on flexibility in the electricity system of the future, which is assumed to be achieved through increased automation of homes. Goal conflicts are examined between ecological and social sustainability that arise in the gap between the ambition of technical efficiency and issues connected to our designed living environment which include equality, democracy, power and trust. The analysis takes place from an intersectional perspective, where societal structures that risk standing in the way of a democratic future electricity network are visible. The project collaborates with private and civil society actors with the aim of transferring the project’s results into practical work.

Deadline : 12.Jan.2024

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(19) PhD Degree – Fully Funded

PhD position summary/title: Doctoral students in secure networked control systems

The Division of Decision and Control Systems and the Division of Network and Systems Engineering are looking for two doctoral students with a very strong background and interest in control systems, mathematics, Bayesian inference, and modeling. The successful candidates will join a project on developing rigorous, novel tools for the fundamental understanding and engineering design of secure networked control systems. In particular, the focus will lie on the development of quantitative risk analysis tools for networked control systems with machine learning components and of algorithms for the detection of cyber-physical attacks, within the framework of a new WASP-project. 

Deadline : 12.Jan.2024

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(20) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in from blackwater to platform chemicals

The aim of this PhD project is to establish a new biobased production platform by embracing microbial communities for achieving sustainable production of specific biobased chemicals from source separated municipal wastewater. The project includes bioprocess design, synthetic culture design and -omics analysis.

The PhD student will contribute to experimental design and will communicate with the scientific team at KTH as well as through oral presentations, scientific publications and through information for a general audience. In addition to the research, the PhD student will contribute to (co-)Supervision of MSc students and teaching.

Deadline : 12.Jan.2024

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(21) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in development of lignin-based carbon materials for metallurgy

The present PhD project brings together the two largest industrial sectors in Sweden: the metallurgical industry and the pulp and paper industry. The use of carbon is critical to the metallurgical and steel industries. Carbon is present in the form of aggregates (e.g. petroleum coke and needle coke) and binders (e.g. coal tar pitch and phenolic resins) in furnace electrodes, lining pastes and refractories. However, today it originates mainly from fossil sources and must be replaced by more environmentally friendly alternatives from renewable resources. Lignin from kraft pulp mill is a promising alternative due to its high carbon content and availability, and has the potential to function both as an aggregate and as a binder for their application in the manufacture of bio-carbon furnace electrodes.

Deadline : 11.Jan.2024

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(22) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in electrochemical modelling of batteries

Batteries play an increasingly important role as primary energy storage in vehicles. Current battery packs however suffer from inhomogeneous aging due to uneven load of individual cells. Depending on where in the circuit a certain cell is located, the average current through that cell may differ from its neighbours. This leads to differences in state of charge and, in the long term, state of health. It is also difficult to estimate the internal states of individual cells because they cannot be tested in isolation from the rest of the system.

A possible solution to the above problems is to split the battery pack into smaller modules which can be individually connected or disconnected. Such a system offers new possibilities to drive the system to advantageous operating points, as well as increased ability to accurately estimate system states. However, such a topology also increases the system’s complexity. It is therefore necessary to develop novel control strategies to be able to use the modular battery system to its full extent.

Deadline : 11.Jan.2024

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(23) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in chemical engineering for recycling of permanent magnets

This doctoral project is aimed at studying and developing novel, green and efficient methods for separating and recovering rare earth elements from spent permanent magnets and production waste. The core of the method is the selective leaching by deep eutectic solvents followed by controlled precipitation of metal salts for further processing to new raw materials for magnet manufacture. Important aspects include identifying, examining and characterizing potential deep eutectic solvent systems, studying how the metals can most efficiently be separated from the leach liquors, and regenerating the deep eutectic solvent to achieve a closed loop process. The project is financed by Formas.

Deadline : 11.Jan.2024

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(24) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in Industrial Economics and Management

The doctoral project aims to devise strategies for mitigating insured losses in residential properties. Improving loss prevention measures is crucial to enhancing resilience and to help Stockholm adapt to the consequences of climate change. In collaboration with the City of Stockholm and its municipal companies the project strives to both identify and implement effective loss prevention. Using highly detailed insurance and administrative data the project aims at discovering patterns of how investments in loss prevention can reduce losses. It is envisioned to actually implement these strategies.

Deadline : 11.Jan.2024

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(25) PhD Degree – Fully Funded

PhD position summary/title: Doctoral students in Nuclear Power Safety

We are looking for two doctoral students to carry out frontier research on (i) severe accidents of small modular reactors; and (ii) natural circulations in advanced water and lead cooled nuclear reactors. The doctoral student projects are supported by the funds announced in May 2023 by the Radiation Safety Authority (SSM) together with the Swedish Energy Agency (STEM) for research and innovation in radiation safety of new reactor technologies.

The successful candidate is expected to (i) develop numerical models of severe accidents postulated in small modular reactors, and perform severe accident risk analyses; and (ii) develop models and perform validations for simulations for natural circulations in advanced water and lead cooled nuclear reactors. The U.S. NRC simulation codes, such as TRACE and MELCOR/MACCS for thermal-hydraulics and severe accidents, are expected to be employed in the projects.

Deadline : 11.Jan.2024

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(26) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in chemistry of severe reactor accidents

Experiences from severe nuclear accidents such as the Chernobyl and Fukushima accidents have shown that long term dissolution (leaching) of various radionuclides as a result of the interaction between Corium (nuclear fuel-containing material) and water and atmospheric gas may significantly affect the accident site safety. In this project we will experimentally study the kinetics and mechanism of radionuclide release from synthetic corium. In the experiments, the impact of aqueous phase composition, ionizing radiation and temperature will be explored with the aim to develop predictive model describing the kinetics of radionuclide release from Corium in contact with water. For this project we are looking for a person who likes and has experience from experiemntal work and who has a strong background in physical chemistry. The project is funded by the Swedish Centre for Nuclear Technology (SKC). 

Deadline : 11.Jan.2024

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(27) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in Bioelectronics

The doctoral study will be conducted at the Division of Electronics and Embedded Systems at KTH. This research is part of a collaboration with the Department of Women’s and Children’s Health at Karolinska Institute (KI) and focuses on developing biosensors for monitoring fetal hypoxia during birth. The project targets the exploration of suitable sensing technologies, experimental proof-of-concept, and development of the biosensor’s electronics by designing fully integrated circuit solutions that include ultra-low power analog and mixed-signal circuits.

Deadline : 10.Jan.2024

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(28) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in Computer Science (Heterogeneous Parallel Computing)

The position will start as soon as possible. We invite highly motivated candidates to apply for the full-time doctoral student position in Computer Science (with a specialization in high-performance computing) at ScaLab (https://kth-scalab.github.io/). ScaLab focuses on designing and optimizing algorithms, systems software, and architecture to improve the scalability of large-scale parallel computing. The doctoral students will work in a diversified research group, closely interacting with leading research groups in Europe and USA. 

Deadline : 10.Jan.2024

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(29) PhD Degree – Fully Funded

PhD position summary/title: Ph.D student in Human-Computer Interaction for Environmental Stewardship

The project will provide scientific knowledge and practical expertise to more responsively address the challenges of designing new digital systems that enable sustainable waste practices. Considering regulatory aspects early on, when new digital technologies are envisioned and designed, will more efficiently support the alignment of values mandated by the law with specific design features, and with the concerns that different stakeholders (e.g., municipalities, drivers of innovations) might have in managing waste and protecting the environment. In designing new technologies, the role of law and other regulations is often considered after (in time and importance) the development of new functionalities, when technologies are already in use. The project will examine the ways digital innovation for new sustainable practices can be shaped by existing policy and governance, but also challenge existing regulations. It will deliver empirical evidence and a design methodology to more proactively and holistically understand how environmental responsibility in waste management is made to work within the law.

Deadline : 10.Jan.2024

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About KTH Royal Institute of Technology, Stockholm, Sweden – Official Website

KTH Royal Institute of Technology, abbreviated KTH, is a public research university in Stockholm, Sweden. KTH conducts research and education within engineering and technology, and is Sweden’s largest technical university. Currently, KTH consists of five schools with four campuses in and around Stockholm.

KTH was established in 1827 as Teknologiska Institutet (Institute of Technology), and had its roots in Mekaniska skolan (School of Mechanics) that was established in 1798 in Stockholm. But the origin of KTH dates back to the predecessor to Mekaniska skolan, the Laboratorium Mechanicum, which was established in 1697 by Swedish scientist and innovator Christopher Polhem. Laboratorium Mechanicum combined education technology, a laboratory and an exhibition space for innovations. In 1877 KTH received its current name, Kungliga Tekniska högskolan (KTH Royal Institute of Technology). The King of Sweden Carl XVI Gustaf is the High Protector of KTH.

KTH is the highest ranked technical university in Sweden. It is ranked top 100 in the world among all universities in the 2020 QS World University Rankings.

 

 

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