42 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" research jobs at Nature Careers in Denmark
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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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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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the relevant union. The start date is 1 March 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 career paths at DTU
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will be 16 May 2026, or as soon as possible thereafter. 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 career
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for postdoctoral fellowships in formal methods and programming languages, with emphasis on theorem proving. The positions can have a duration of up to 4 years. The targeted starting period is after Summer 2026, with
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refer to http://mbg.au.dk/ for further information about The Department of Molecular Biology and Genetics and to https://nat.au.dk/ and http://www.au.dk/ for information on Faculty of Natural Sciences
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refer to http://mbg.au.dk/ for further information about The Department of Molecular Biology and Genetics and to https://nat.au.dk/ and http://www.au.dk/ for information on Faculty of Natural Sciences
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Society at the Department of Food Science, Aarhus University (http://food.au.dk/en/foodresearch/science-teams/food-quality-perception-society/ ). The focal area for the position will be different tasks
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DTU Tenure Track Researcher in Low-Noise Supercontinuum Lasers and Supercontinuum Laser based Opt...
of Professional Associations. The allowance will be agreed upon with the relevant union. Starting date is 1 July 2026. Location: DTU Electro, Campus Lyngby. The position is part of DTU’s Tenure Track program. Read
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Qualifications Ph.D. in Bioinformatics, Computational Biology, Systems Biology, or a related field Proven experience in the analysis of single-cell or spatial omics datasets Strong programming skills in Python and