42 computational-physics "https:" "https:" "https:" "https:" "Simons Foundation" "Simons Foundation" Postdoctoral positions at Aarhus University
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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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information about the application process, please contact HR support at iks-hr-sag@au.dk . The workplace will be at Institute for Culture and Society, Aarhus University, Jens Chr. Skous Vej 5, 8000 Aarhus C
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graph algorithms for optimization under physical constraints Applying graph mining and graph data management techniques Designing computational methods for waste heat reuse and green transition goals
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This is a full-time (37 hours/week) on-site role located at Åbogade 34, 8200 Aarhus N, Denmark for a Postdoctoral Fellow at the Department of Computer Science, Aarhus University. The postdoctoral
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will report to Professor of Medical Physics Stine Korreman. Your competences You have academic qualifications at PhD level, for example within the following areas; computer science, biomedical
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Feb 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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development for postdocs at AU. You can read more about it here: https://talent.au.dk/junior-researcher-development-programme/ If nothing else is noted, applications must be submitted in English. The
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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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refer to http://mbg.au.dk/ for further information about The Department of Molecular Biology and Genetics and to https://nat.au.dk/ and http://www.au.dk/ for information on Faculty of Natural Sciences
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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