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computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling
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industrial collaborators A work environment with close working relationships, networking and social activities Opportunities for career development Place of work and area of employment The place of work is
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large international network. Furthermore, we collaborate extensively with other groups, including both clinical and basic pharmacology researchers as well as environmental medicine specialists
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a focus on mentoring and individual career development. Training in state-of-the-art technologies and data analysis as well as research management, oral and written communication, and networking
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aspects of drug use, drug effects, and drug safety. The group is highly regarded within pharmacoepidemiology and has a large international network. Furthermore, we collaborate extensively with other groups
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machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields, including robotic control, fluid mechanics and
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to define how RecQ helicases maintain genome stability to limit premature aging and cancer development. These projects will benefit from access to cutting-edge mass spectrometry, imaging, screening and
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Postdoctoral researcher in Environmental Analytical Chemistry, with a focus on non-target screeni...
/ ). The candidate is expected to support Prof. Katrin Vorkamp’s research in this centre, with possibilities for networking and exchange on PFAS. However, the candidate is also expected to contribute to Prof. Katrin
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connection to the research environment, and a comprehensive national and international research network and good industrial and professional collaboration. Please refer to Department of Animal and Veterinary
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-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of eight research sections with