10 computational-biology-physics "https:" Postdoctoral positions at Aarhus University
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and 95 PhD students. The department is responsible for two educations: Molecular Biology and Molecular Medicine with a yearly uptake of 160 students in total. Please refer to http://mbg.au.dk
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members in Oxford such as Tissue Biology Lead Dr Matthias Friedrich, Computational/Bioinformatics Lead Dr Calliope Dendrou, Data Management Lead Prof Brian Marsden, Data Sharing/Visualisation Lead Dr
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Aarhus University invites applications for a postdoc position within the Plant-PATH Center of Excellence within the Department of Molecular Biology and Genetics. The project focuses on biophysical
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hold a PhD in oceanography, marine ecology, computer sciences, data sciences or similar. We expect that you have: Expert knowledge on network modelling, especially aimed at ecological applications Strong
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an experience in technology-assisted monitoring or computational image analysis. Expected start date and duration of employment The position will start in June 2026, with exact starting date as agreed between
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-motivated, pro-active, team- and goal-oriented personality Excellent communication skills, including fluency in spoken and written English Preferred Qualifications: Skills in computational protein structure
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@au.dk) Applicants must have a relevant PhD degree in biology, biogeochemistry, hydrology, glaciology, oceanography, geoscience or physics. Field experience, data analysis and programming (e.g., python
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, Biofunctional Food, Systems Biology, Food Chemistry and Technology, Food Quality, and Sensory and Consumer Science. The Department currently employs approx. 60 full time scientific staff and 50 PhD students and
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spatially explicit process-based ecological model (DEB-IBM) for muskoxen in the high-Arctic through the analyses of long-term GPS and acceleration data. using the model to estimate the (cumulative) impacts
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. The candidates must hold a PhD in Chemistry/Physics. Experience in data framework development, kinetic/thermodynamic modeling, and collaborative interdisciplinary research. An education history in chemical