82 computer-programmer-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" uni jobs in Denmark
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. at Risø Campus will occour. Starting date is 1 September 2026. The position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about
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stipend is available within the general study program "Computer Science". As a PhD student, you will join a highly collaborative, international, and ambitious research community, with access to state
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(UTC) Country Denmark Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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of Science in Physiotherapy programme, to teach modules at other bachelor and master programmes offered by the Faculty of Health Sciences and to supervise undergraduate and co-supervise PhD students
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Dec 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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Master’s program in Kalundborg. We value innovative teaching methods, including the use of digital technologies. Research: Your research will be anchored in AT-CERE which is part of DTU Chemical Engineering
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program across Aalborg and Copenhagen campi. This includes delivering courses in teaching programming e.g. C# and Python, real-time graphics rendering, use of generative AI as well as AI application
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Copenhagen Business School invites applications for two
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strategy and working environment is viewed as important. The Department is responsible for a Master’s programme in Molecular Nutrition and Food Technology, taught at AU, Denmark, and a Master’s programme in
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levels. Responsibilities and qualifications You are expected to be part of defining the teaching within the core areas of DTU Compute, including courses on probabilistic machine learning and its