118 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" research jobs in Denmark
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for academic as well as industrial knowledge within this field and competencies across multiple engineering programs. To do so, you will: Develop the research field by identifying knowledge gaps of scientific
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) Experience with plant biochemistry, genetics and physiology Experience with bioinformatics and coding in Python or other programing language Experience with protein software tools like AlphaFold3, Boltz2
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scientific results in high-quality international journals Extensive collaboration and teamwork skills Good English communication skills Who we are The Department of Ecoscience is engaged in research programs
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projects. In addition to research, the candidate(s) will contribute to teaching activities within the MSc CREATE programme and the BSc in Civil and Architectural Engineering, with an emphasis on research
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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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level? At DTU Physics we are looking for a postdoc to develop experimental exercises for the Engineering Physics B.Sc. programme, and to measure their effect on the learning. Responsibilities and
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section Help design and pilot an outreach programme for Danish school classes linked to the monitoring work Help organise two workshops bringing together interdisciplinary expertise from within and beyond
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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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the MSc CREATE programme and the BSc in Civil and Architectural Engineering, as well as participation in service and institutional activities. The position may support preparation for a future PhD
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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