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Assistant professor position (non-tenured) in molecular dynamics simulations of plant hormone tra...
-of-the-art high-performance computing (HPC) facilities, including Center for Scientific Computing Aarhus (CSCAA) and GenomeDK. Applying for other computing resources on European HPCs (i.e., LUMI through DeiC
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initially for two years with the possibility of extension. We are seeking a highly motivated researcher who is excited to play a key role in developing an ambitious research programme and establishing
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application of machine and deep learning models. The balance between experimental and computational method development will depend on the candidates’ profiles. Start date is expected to be 1 June 2026 or as
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training program for assistant professors. Your competencies We are looking for a colleague with a clear ambition to contribute to internationally recognized marketing research, aiming to publish in leading
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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 The Department
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-of-the-art high-performance computing (HPC) facilities, including Center for Scientific Computing Aarhus (CSCAA) and GenomeDK. Applying for other computing resources on European HPCs (i.e., LUMI through DeiC
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Afforestation is widely promoted as a nature-based solution for climate change mitigation, and the Danish government has initiated an ambitious afforestation programme to transform 250,000 ha
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specimens is particularly strong on Danish and arctic (Greenland) material but also contains material from all over the world. To read more about the botanical collections, see here: https
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We are looking for a highly motivated and dynamic postdoc for the Department of Immunology and Microbiology (ISIM) to work at Copenhagen Hepatitis C Program (CO-HEP) to commence May 1, 2026, and
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Department of Biology Faculty of Science University of Copenhagen The Kresten Lindorff-Larsen group is looking for a PhD student in computational biophysics and machine learning studies