41 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" research jobs at Nature Careers in Denmark
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with a yearly uptake of 160 students in total. Please 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
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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 here . Further information Further information may be
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documented research experience in a related field. The applicant should have experience in one or more of the areas/fields mentioned below Proficiency in programming languages such as Python or R. Experience
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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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@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
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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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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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many of the faculty's degree programs. Comprising a wide range of scientific areas, the department is a strong partner in interdisciplinary initiatives, particularly with the Novo Nordisk Foundation
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5-year undergraduate nanotechnology programme and nanoscience graduate programme (https://phd.nat.au.dk/programmes/nanoscience/) the center provides a full educational environment. In
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, handling, and synthesising big data geospatial data sets from various data sources. Cutting-edge expertise in advanced statistical analyses of large data sets and strong knowledge of programming languages