32 scholarship-phd-agent-based-modelling Postdoctoral positions at Aarhus University in Denmark
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Applications are invited for a 2-year position in the field of CFD and modeling of heat pumps at the Department of Mechanical and Production Engineering, Aarhus University, Denmark. Expected start
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employees, 500 PhD students and 160 technical/administrative employees who are cooperating across disciplines. As a Postdoc, you will be working at Aarhus University Hospital or another hospital in
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Organoid model culturing Mouse model optimization and validation You will report to the Professor Bent Deleuran and Associate Professor Stinne Greisen Your competences You have academic qualifications at PhD
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. Your competences You have academic qualifications at PhD level, for example within the following areas including CRISPR/Cas-based genome editing, various delivery technologies, stem cell handling and
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qualifications at PhD level, for example within the following areas including molecular biology and genetics, CRISPR/Cas-based genome editing, and genetic engineering. You have documented experience with CRISPR
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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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the successful candidate. We are looking for a candidate who has: A PhD in law or a related field. Prior knowledge of and an interest in human rights law, climate change and environmental law. Ambition to develop
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responsibility for the Master's degree programs in medicine and in molecular medicine. At the department we are approx. 670 academic employees, 500 PhD students and 160 technical/administrative employees who
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. The department has overall responsibility for the Master's degree programs in medicine and in molecular medicine. At the department we are approx. 670 academic employees, 500 PhD students and 160 technical
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Do you have experience with modelling structures subjected to dynamic loading? Are you interested in data-driven methods for modelling applied loading? Are you eager to share your knowledge within