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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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; Collaborating closely with the ENGREENIT’s PhD candidate (starting 12 months later than the PostDoc researcher), supervised by the Assoc. Prof. Emil Draževic, and will jointly develop the heterogeneous
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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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participate in knowledge exchange with public authorities and industry and will be involved in teaching and supervising students at the BSc, MSc, and PhD levels. Qualifications for a postdoc position: Academic
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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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highly motivated, determined, innovative, and collaborative postdoc to lead the research project outlined above. You have: A PhD in life science, e.g., molecular biology or biochemistry. Expertise in e.g
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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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Postdoc in Psychiatric Epidemiology: Linking Register and Trial Data to Study Postpartum Depressi...
closely with a PhD student and the broader project team and will contribute to the implementation and follow-up of the randomized controlled trial evaluating internet-based therapy for mothers with
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defining the T cell immunogenicity of the HLA antigen presented peptides remains very limited. This greatly limits the applicability of current antigen presentation (in-silico and experimental
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activities and that you will report research results in high-impact scientific journals. Your profile We are searching for a highly motivated candidate who has A PhD in soil science, digital soil mapping