108 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" uni jobs in Denmark
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fieldwork in the Arctic is an asset, but not a requirement. Good team-working ability as well as writing skills are essential. The Department of Ecoscience is engaged in research programs and advisory work
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the period of the assistant professorship. Teaching Applicants will be expected to teach and supervise across all levels of degree programmes at DPU, in particular on the Master’s degree programme in ICT-based
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Positions Country Denmark Application Deadline 17 Nov 2025 - 12:00 (Europe/Copenhagen) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded
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quantum programming languages. We are looking for new colleagues who can strengthen or add to our competences. We e encourage interested candidates to explore the section’s website at https://acp.sdu.dk
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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 Copenhagen Business School
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, whoarecommitted to the vision and mission of the Centre (https://www.ucpbl.net/about/). The applicantsshoulddemonstrate research experiencewithin the field of PBL related to one or more of the followingareas in
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, numerical simulation, and experimental methods hold equal weight. Selected candidates will be expected to Create a research program that is innovative and has global significance. Build collaborative efforts
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Tenure-track Assistant and Associate Professorship positions in Algorithms at the Department of M...
Professor is temporary and for an initial x-year period. (up to 6 years) . During employment, the assistant professor will complete the Lecturer Training Programme . Appointment to the position will be in
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educational innovation? The Edu4chip project (https://edu4chip.github.io/ ) is looking for part-time employees to support our mission of making chip design more accessible through open-source tools and
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. Proficiency in programming languages such as Python, MATLAB, or R, and familiarity with data analysis libraries (e.g., NumPy, SciPy, Pandas). Demonstrated ability to work collaboratively in a team setting and