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26 PhD Degree-Fully Funded at University of Copenhagen, Denmark

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University of Copenhagen, Denmark 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 University of Copenhagen, Denmark.

Eligible candidate may Apply as soon as possible.

 

(01) PhD Degree – Fully Funded

PhD position summary/title: PhD position in philosophy

Applications must include a detailed project description covering the problem formulation, overall objectives, methodology, design and timetable (max. five pages/12,000 characters, incl. spaces, excl. bibliography). This description should make reference to the Theory Crisis in Cognitive Neuroscience project mentioned above. The PhD project description should be clearly situated within the larger project.

Deadline : 01-09-2023

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(02) PhD Degree – Fully Funded

PhD position summary/title: PhD fellowship in Environmental Toxicology

It is impossible to assess the risk of all chemical pollutants to all species in the environment at all sorts of environmental conditons. Chemical risk assessments therefore depend on models which can predict the chemical fate and biological effect across species and endpoints. Several models exsist but few are fully evaluated for their ability to predict fate and effects under nature like conditions. The overall aim of QTOX is to address the robustness of models based on mechanistic knowledge of the underlying processes in the chain from exposure to effects, across all levels of biological organisation, with close connection to regulatory endpoints, and under environmentally realistic conditions, i.e., including the dynamics of chronic exposures to mixtures of chemicals. The robustness of all models will be evaluated on microcosm scenarios under two environmental regimes in Spain and Holland, respectively. Read more about the project on www.qtox.eu

Deadline : 16-08-2023

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(03) PhD Degree – Fully Funded

PhD position summary/title: PhD fellowship in Environmental Toxicology

It is impossible to assess the risk of all chemical pollutants to all species in the environment at all sorts of environmental conditons. Chemical risk assessments therefore depend on models which can predict the chemical fate and biological effect across species and endpoints. Several models exsist but few are fully evaluated for their ability to predict fate and effects under nature like conditions. The overall aim of QTOX is to address the robustness of models based on mechanistic knowledge of the underlying processes in the chain from exposure to effects, across all levels of biological organisation, with close connection to regulatory endpoints, and under environmentally realistic conditions, i.e., including the dynamics of chronic exposures to mixtures of chemicals. The robustness of all models will be evaluated on microcosm scenarios under two environmental regimes in Spain and Holland, respectively. Read more about the project on www.qtox.eu

Deadline :  16-08-2023

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(04) PhD Degree – Fully Funded

PhD position summary/title: Two PhD fellows in Human Diet-Gut-Brain interactions at Department of Nutrition, Exercise and Sports

The two positions are available for a 3-year period and your key tasks as a PhD student at SCIENCE are:

  • Carry through an independent research project under supervision
  • Complete PhD courses corresponding to approx. 30 ECTS / ½ FTE
  • Participate in active research environments, including a stay at another research institution, (Aarhus University and/or APC Microbiome Ireland, University College Cork)
  • Teaching and knowledge dissemination activities
  • Write scientific papers aimed at high-impact journals
  • Write and defend a PhD thesis on the basis of your project

Deadline : 06-08-2023

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(05) PhD Degree – Fully Funded

PhD position summary/title: A PhD Position in the Mechanics of Tissue Homeostasis at reNEW

We are seeking an enthusiastic and outstanding candidate with a background in cell and tissue mechanics. The candidate will implement cutting-edge quantitative imaging methods, multiomics techniques and tissue engineering to unravel how cell and tissue mechanics regulates the mucociliary epithelial cell development and renewal.

Deadline :01-08-2023

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(06) PhD Degree – Fully Funded

PhD position summary/title: PhD Scholarship in Philosophy of Artificial Intelligence

Applications must include a detailed project description covering the problem formulation, overall objectives, methodology, design and timetable (max. five pages/12,000 characters, incl. spaces, excl. bibliography). Applicants who anticipate incurring extraordinary expenses (related to questionnaires, fieldwork, extended stay(s) abroad, equipment, etc.) must include brief comments about this in their project description. 

Deadline :  01-08-2023

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(07) PhD Degree – Fully Funded

PhD position summary/title: PhD fellowship in applied statistics in monitoring pesticide effects

The main aim of environmental risk assessment is to assign magnitudes and probabilities to adverse effects of human impact. A key parameter used in chemical risk assessment is the benchmark dose, identifying the dose associated with a predefined deviation from non-treated controls in the testsystem investigated. The benchmark dose methodology relies on non-linear dose-response models. The methodology is well-established for univariate data, such as a growth or mortility measured at a single point in time, but less so for more complex data structures such hierarchical data based on repeated experiments or time series, which have the advantage of closer resembling reality and accordingly provide more valuable input for risk assessments.  In addition, as toxicity is a process in time and exposure concentrations often vary in time (chemicals degrade in the environment, and/or are added repeatedly), statistical methods to describe effect development in time as a function of exposure is becoming increasingly important tools for chemical risk assessment.

Deadline : 30-07-2023

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(08) PhD Degree – Fully Funded

PhD position summary/title: PhD fellowship in Nutritional Immunology/Parasitology at the Department of Veterinary and Animal Sciences

The PhD project is part of the project ‘Understanding how gut metabolites regulate type-2 mucosal immunity’ funded by the Novo Nordisk Foundation. The role of nutrition and dietary components in regulating mucosal immune function is becoming extensively explored, due to rising rates of allergies and chronic inflammation. Our group is interested in how dietary components and the gut microbiota interact to regulate type-2 immunity at mucosal surfaces, which is critical for protection against helminth parasites but can also cause pathologies such as allergies when dysregulated. The PhD project will focus on how pigs respond to infection with the helminth Trichuris suis when fed diets with different levels of fermentable fibers. We aim to identify gut metabolites derived from the breakdown of dietary fiber that shape the development of innate immune cells in the gut during T. suis infection.  Some work in mouse models will also be involved. The PhD student will work together with other PhD students and postdocs in this research, involving infection of pigs or mice with Trichuris spp, metabolomic, microbiome and immunological analyses, including work at collaborating laboratories in both Denmark and abroad (several months). Full training will be provided. The PhD student will also contribute to teaching in the section.

Deadline : 23-07-2023

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(09) PhD Degree – Fully Funded

PhD position summary/title: PhD fellowship in theoretical reinforcement learning

Reinforcement Learning (RL) aims at developing computer systems, capable of learning an unknown dynamic environment so as to maximize a notion of reward. Relaible application of AI crucially relies on RL algorithms with theoretical performance guranatees. Most of existing algorithms developed for complex RL tasks do not admit such guarantees, and the research on theoretical RL lags far behind pratical RL. An RL task is often mathematically modelled as a mathematical object called a Markov Decision Process (MDP). An RL agent wishes to learn a near-optimal bevahoir through maximizing a notion of reward function in the underlying MDP, which is assumed unknown initially. Its performance in doing so is assessed through performance measures such as regret or sample complexity. In offline RL, the agent relies on pre-collected data without further exploration, whereas in online RL, it interacts with the MDP in an online manner and aims to balance exploration and exploitation. In both settings, the agent wishes to identify a near-optimal control policy yielding as much as reward as possible. 

Deadline :16-07-2023

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(10) PhD Degree – Fully Funded

PhD position summary/title: PhD fellowships in Organic Chemistry

Artificial enzymes are small organic molecules with enzyme like catalytic properties. The goal of the project is to transform cyclodextrins into artifial enzymes that can bind and catalyse difficult transformations such as the selective oxidation of alkanes including the green house gas methane. The Ph.d. fellow will design and synthesize new cyclodextrins derivatives and study their binding and catalytic properties.

Deadline :  13-07-2023

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(11) PhD Degree – Fully Funded

PhD position summary/title: PhD fellowship in medical image analysis

Machine learning and in particular deep learning (DL) have the potential to change how images are interpreted and processed in medicine. Most DL systems learn to solve problems in a supervised manner directly from examples of input and output and often many manually labeled examples of output are needed to get to a satisfactory performance. Unfortunately, abundance of data is rare in medical imaging, instead, what is often available is a limited number of simply labeled scans from a single study/institution severely limiting supervised learning. Gathering large amounts of unlabeled data is easier. Images gathered during cancer treatment and specifically radiotherapy is an excellent source of such unlabelled data because multiple images and multiple imaging modalities are used for diagnostics, treatment planning, treatment delivery, and finally follow-up. This becomes dozens of 3D scans for each patient and tens of thousands per year per radiotherapy center.This project is focused on learning from combinations of such labeled and unlabeled medical imaging data, with unsupervised and semi-supervised learning and so-called self-supervised techniques. Self-supervised methods are state of the art in a number of computer vision problems and language models that learn unsupervised and semi-supervised are currently changing society through language processing, but have so far not found wide adoption in the medical imaging domain. The PhD project goals are to investigate the learning and scaling potential of existing and developed methods and investigate their benefits for analysis of longitudinal images by using the large amounts of oncology imaging data available in hospital databases. This could potentially have wide impact on medical image analysis and processing, however, the PhD project will also run side-by-side with a medical PhD project at the Department of Oncology at Rigshospitalet, which aims to use the results of the method development and analysis to specifically improve risk modelling of tumor recurrence and side-effects after treatment.

Deadline :  09-07-2023

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(12) PhD Degree – Fully Funded

PhD position summary/title: PhD fellowship in membrane protein biochemistry and peptide drug discovery at the Department of Drug Design and Pharmacology and Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen

Acid-sensing ion channels (ASICs) are membrane proteins expressed in the central and peripheral nervous system and are crucial for synaptic activity and plasticity. Excessive stimulation of ASICs can have detrimental effects for the human body. For instance, dysfunction of the ASIC1a isoform is linked to cell death during stroke and aberrant activity of the ASIC3 isoform can cause pain.Using a highly integrated structural, functional, and pharmacological approach, this project aims at developing pharmacological agents with sufficient affinity and specificity to target individual ASICs, to generate the first set of potent and selective ASIC-targeting cyclic peptides. For this, the PhD candidate will develop and apply a range of specialized biochemical and pharmacological tools, to gain unprecedented molecular insight into ASIC biology and pharmacology.

Deadline :  09-07-2023

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(13) PhD Degree – Fully Funded

PhD position summary/title: PhD fellowship in experimental superconducting quantum information physics and devices

We are seeking candidates for multiple PhD fellowships in the field of experimental superconducting quantum information processing.

Deadline : 09-07-2023

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(14) PhD Degree – Fully Funded

PhD position summary/title: PhD fellowships in Plant Science

All plant cells produce a carbohydrate-rich extracellular matrix, called the cell wall. Cell wall synthesis and regulation is critical for many physiological processes, such as growth, tissue morphology development, and as the first line of defence against pests and pathogens. Cell walls act as a major carbon sink and are an abundant source of economically important materials; therefore, knowledge of cell walls is highly relevant for both fundamental and applied research. When the cell wall is challenged by mechanical or biotic disruption, a cell wall integrity (CWI) sensing pathway is triggered to reprogram many cellular processes. Although some proteins involved in CWI sensing have been identified, it remains an understudied field of high importance in plant biology. Interestingly, there appears to be crosstalk between nutrient signalling and cell wall synthesis pathways, as nutrient-specific deficiencies trigger distinct changes in tissue growth and morphology that are dependent on cell wall synthesis and remodelling. The aims of this project include: (1) further investigate the CWI sensing pathway by identifying and characterizing candidate proteins; (2) investigate nutrient signalling by engineering plants with fluorescent proteins to report the availability status of various macronutrients and validate using fertilizer application regimes. The successful candidate will use a range of molecular, microscopic, and physiological techniques to address these questions, including developing nutrient biosensors and harnessing new proteomics techniques.

Deadline : 04-07-2023

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(15) PhD Degree – Fully Funded

PhD position summary/title: PhD fellowship in Biocomplexity and Biophysics

With the proposed project, we will study the role of liquid-liquid phase separation in facilitating DNA repair processes in the cell nucleus as a model to establish a fundamental biological understanding of how biomolecular droplets allow the cell to orchestrate its biochemical processes. We will achieve this through a cross-disciplinary effort that combines molecular genetics and state-of-the-art microscopy with biophysical modelling and computational simulations. The model approach will be inspired from statistical physics and the theory of phase transitions and droplet formation. By the introduction of active chemical reactions, we will study the physics of droplet formation and maintenance in time and space.

Deadline :  03-07-2023

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(16) PhD Degree – Fully Funded

PhD position summary/title: PhD fellowship in Molecular Cell Biology

With the proposed project, we will study the role of liquid-liquid phase separation in facilitating DNA repair processes in the cell nucleus as a model to establish a fundamental biological understanding of how biomolecular droplets allow the cell to orchestrate its biochemical processes. We will achieve this through a cross-disciplinary effort that combines molecular genetics and state-of-the-art microscopy with biophysical modelling and computational simulations.

Deadline :  03-07-2023

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(17) PhD Degree – Fully Funded

PhD position summary/title: PhD fellowship in Machine Learning Predictions of Inorganic Groundwater Chemistry under Climate Change

To secure clean water for future generations, knowledge of the influence of climate change on groundwater quality is needed. Though there is a general perception that climate change affects groundwater quality, the concrete impacts are yet unknown. With this project we aim at breaking new grounds to address this knowledge gap by generating new process understanding on how climate change, through altering groundwater recharge and temperature, affects groundwater quality.

Deadline : 03-07-2023

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(18) PhD Degree – Fully Funded

PhD position summary/title: 211-1451/23-2H PhD fellowship in Organic Chemistry,

CO2 in homologation reactions, carboxylation (Bucherer-Bergs reaction), carbohydrate synthesis (Butlerov reaction) and their implications in the origin of life

Deadline :  02-07-2023

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(19) PhD Degree – Fully Funded

PhD position summary/title: PhD in Science Studies

The project sets out to investigate the technological platforms at CBMR. The platforms occupy an intermediary role between experimental set-ups and instruments: they are under exploration, but also aim to standardize complex experimental methods. They thus occupy a role in between what Hans-Jörg Rheinberger, philosopher and historian of experiments, called epistemic things and technological systems respectively. The project will explore the thesis that such platforms – with their double role of offering new types of data while applicable to a range of research questions – become interdisciplinary points of contact. They act as material lenses that both coordinate and distribute insight.

Deadline :  02-07-2023

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(20) PhD Degree – Fully Funded

PhD position summary/title: PhD in Molecular regulation of the Salt-inducible Kinases in metabolic control

Salt-Inducible kinases (SIKs) were initially described for their role in sodium sensing, but have since been shown to regulate many physiological processes. SIKs are activated or inhibited in response to extracellular signals (e.g. hormones) that are cell surface receptor mediated, and regulate multiple targets to reprogram transcriptional and post-transcriptional processes in response. We and others have demonstrated that SIKs regulate metabolic responses (e.g. hepatic gluconeogenesis) to fasting/feeding and thus are implicated to play a key role in control of glucose homeostasis. However, the precise mechanism by which SIKs are regulated by fasting/feeding at molecular level is elusive.The major goal of the PhD project is to investigate the molecular mechanism by which SIKs are switched-on and -off by extracellular signals such as hormones, regulate downstream targets and ultimately specific transcriptional programs metabolic processes, including gluconeogenesis. Your key tasks will be to perform in-depth biochemical analysis of SIKs in collaboration with structural biologists/proteomics expert and perform extensive cell culture work for signaling analysis and in vivo studies of gene-targeted/edited and drug-treated mice for metabolic investigations.

Deadline : 02-07-2023

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(21) PhD Degree – Fully Funded

PhD position summary/title: PhD in Functional Proteomics

We are seeking an enthusiastic, passionate researcher to perform a PhD project in functional proteomics. The main objective of the project is to identify and characterize secreted proteins in body fluid samples from healthy and type 2 diabetic individuals at rest and after an exercise intervention. The successful applicant will utilize cutting-edge proteomics workflow, alongside bioinformatics and metabolic assays in in vitro and in vivo model systems. The candidate will work in an interdisciplinary team comprising molecular biologists, bioinformaticians and cell biologists. By working together, we aim to gain better understanding of the complex mechanisms behind protein secretion and how they are influenced by exercise and metabolic disorders.

Deadline : 02-07-2023

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(22) PhD Degree – Fully Funded

PhD position summary/title: PhD fellowship in membrane protein structural biology and pharmacology at the Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen

Our sensation of taste influences our dietary choices and alert us about harmful foods, but the underlying molecular mechanisms of taste are poorly understood. This project aims at advancing our understanding of the molecular mechanisms underlying taste perception by studying the structure, dynamics, and function of membrane-bound taste receptors. The PhD candidate will apply single particle cryo-EM in combination with biochemical, pharmacological, and cellular assays to characterize membrane proteins involved in taste. The outcome of the project will yield unprecedented molecular insight into taste perception and delineate the therapeutic and diagnostic potential of an entire family of proteins.

Deadline : 30-06-2023

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(23) PhD Degree – Fully Funded

PhD position summary/title: PhD Project in Genome Maintenance During Cell Division

DNA repair pathways are regulated according to cell cycle stage. The protein TopBP1 is a master regulator of DNA repair and maintenance mechanism during M phase of the cell cycle. This project will investigate the functional interplay between mitotic kinases and TopBP1 and how this affects genome maintenance pathways during M phase.

Deadline : 29-06-2023

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(24) PhD Degree – Fully Funded

PhD position summary/title: PhD Project in organic synthesis

The project focuses on the synthesis and studies of small molecular segments of the carbon allotrope 6,6,12-graphyne. Synthetically, the project employs various metal-catalyzed cross-coupling reactions using alkyne substrates (acetylenic scaffolding). Studies involve electrochemical techniques such as cyclic voltammetry as well as UV-Vis absorption studies.

Deadline :29-06-2023

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(25) PhD Degree – Fully Funded

PhD position summary/title: PhD fellowship in Membrane protein structure-based disease understanding and drug-development at the Department of Biomedical Sciences

Structural information is essential for a molecular understanding of disease and represents a tool that significantly enhances drug-development/optimization efforts. Nevertheless, such possibilities have largely remained unexploited due to the challenges associated with determination of membrane protein structures. The overarching goal of this PhD program is to elucidate molecular structures of physiologically-relevant membrane proteins in isolation or in complex with pharmacological compound candidates to shed light on the basic principles and determinants that govern protein function and disease, and to open up refined or novel avenues to alleviate medical conditions related to the approached targets. The program will center on protein families that are related to ion homeostasis, human health and highly attractive targets in the treatment of disease, as sparked by advances in cryo-EM and breakthroughs of research activities of the host laboratory. The work will aim for a detailed spatial and disease understanding, employing an interdisciplinary set of approaches centered on cryo-EM, with strong anticipated synergistic effects between the two focus protein classes. Positive results have the potential to immediately assist development of therapeutic intervention of severe disorders. The selected candidate will work in close collaboration with specialists within the different protein target fields.

Deadline : 25-06-2023

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(26) PhD Degree – Fully Funded

PhD position summary/title: PhD position in bioengineering disease models of chronic respiratory diseases with advanced co-cultures and patient multiomics

This call is intended for the study of human epithelia and their behavior under disease burden and co-culturing conditions where various cellular components from patients’ samples are co-evaluated. We aspire building ever complex systems where epithelia are studied at the interphase of immune and mesenchymal cells. Key pathological aspects we are interested in, are epithelial cell destruction, the stem cell regenerative capacity under disease stress, tissue remodeling of epithelia drifting or increasingly being identified by fibrotic cell fates and how chronic inflammation drives epithelial tissue ageing. The prospective candidate alongside research stuff and the PhD students in the lab will be actively collaborating to: i) develop model protocols and study quantitatively the capacity of the 3D organoids to reflect the patient’s endotypic identity, ii) They will perform loss-of-function, overexpression or transient silencing experiments by the use of genome editing tools, iii) They will screen for efficacious compounds and combinations on the tissues grown, iv) They will perform integrative, multimodal, genomic experiments on the organoids developed, v) They will design novel (and microfluidics) co-culturing systems where they will test for key inflammatory or pro-resolving proteins and compounds, vi) They will study the effects of inflammation on epithelia and, vii) They will work on identifying the functional role and signaling pathways implicated on key pathological features of the disease.

Deadline : 21-06-2023

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About The University of Copenhagen, Denmark – Official Website

The University of Copenhagen is a public research university in Copenhagen, Denmark. Founded in 1479, the University of Copenhagen is the second-oldest university in Scandinavia, and ranks as one of the top universities in the Nordic countries and Europe.

Its establishment sanctioned by Pope Sixtus IV, the University of Copenhagen was founded by Christian I of Denmark as a Catholic teaching institution with a predominantly theological focus. In 1537, it was re-established by King Christian III as part of the Lutheran Reformation. Up until the 18th century, the university was primarily concerned with educating clergymen. Through various reforms in the 18th and 19th century, the University of Copenhagen was transformed into a modern, secular university, with science and the humanities replacing theology as the main subjects studied and taught.

The University of Copenhagen consists of six different faculties, with teaching taking place in its four distinct campuses, all situated in Copenhagen. The university operates 36 different departments and 122 separate research centres in Copenhagen, as well as a number of museums and botanical gardens in and outside the Danish capital. The University of Copenhagen also owns and operates multiple research stations around Denmark, with two additional ones located in Greenland. Additionally, The Faculty of Health and Medical Sciences and the public hospitals of the Capital and Zealand Region of Denmark constitute the conglomerate Copenhagen University Hospital.

A number of prominent scientific theories and schools of thought are namesakes of the University of Copenhagen. The famous Copenhagen Interpretation of quantum mechanics was conceived at the Niels Bohr Institute, which is part of the university. The Department of Political Science birthed the Copenhagen School of Security Studies, which is also named after the university. Others include the Copenhagen School of Theology and the Copenhagen School of Linguistics.

 

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