271 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "FCT NOVA UNIDEMI" research jobs in Denmark
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Graph Machine Learning and Graph Data Management At Section
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The Novo Nordisk Foundation Quantum Computing Programme (NQCP) is establishing a talented and diverse international team to create a cutting-edge quantum programme in the heart of Copenhagen
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postdoctoral researchers willberecruited to workcloselyacross the two AAU departments of Sustainability and planning (PLAN) and Computer Sciences (CS). The project’smethodological PI is Associate Professor
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Positions Country Denmark Application Deadline 15 Jan 2026 - 12:00 (Europe/Copenhagen) Type of Contract To be defined Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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Professor at Aalborg University (profile: https://vbn.aau.dk/da/persons/jajh/ )The project team consists of the principal investigator, two postdoctoral researchers, and a research assistant working closely
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: http://international.au.dk/research/ The Danish School of Education The Danish School of Education at Aarhus University is Denmark’s largest centre for research and teaching in the fields of education
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career. Information on CGEN and its individual groups can be found at: https://cgen.ku.dk/ and on ICMM at: https://icmm.ku.dk/english/ . Project description The project will be decided in consultation
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read more about the section of Plasma Physics and Fusion Energy at https://physics.dtu.dk/research/sections/ppfe . If you are applying from abroad, you may find useful information on working in Denmark
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should have experience with network modelling and programming. Experience with systematic reviews and meta-analyses is an asset, but not a prerequisite for the position. The successful candidate will work
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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