452 computer-programmer-"the"-"U"-"UCL"-"Embry-Riddle-Aeronautical-University"-"U.S" positions in Denmark
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Job Description If you are excited by the challenge of understanding extinction through cutting-edge computational approaches, this postdoc offers a unique opportunity. You will help develop a
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Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process
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large part of the medical degree programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 500
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and supervise on BA and MA levels. Given the international focus of the degree programmes, the successful applicant will be expected to teach in English as well as Danish. Qualifications Applicants
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Profile Leading Researcher (R4) Country Denmark Application Deadline 10 Oct 2025 - 21:59 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme
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, neuroscience and personalized medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree program. Academic staff
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for the study programme. List of publications and maximum 2 examples of relevant publications (in case you have any publications). References may be included, you're welcome to use the form
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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 Climate and Energy Policy
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DTU Bioengineering aiming to design novel Carbohydrate-Active enZymes (CAZymes) de novo (from scratch). Using state-of-the-art AI-based protein design tools, the project integrates computational design
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technologies for removing PFAS “forever chemicals” from the environment. You will collaborate with Prof. Anders Krogh’s group, Department of Computer Science, UCPH, on applying ML for protein-ligand predictions