132 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "P" positions at Nature Careers in Denmark
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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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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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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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-free clean-laboratory, two ICP-MS, and TCN dating facilities. https://geo.au.dk/en/research/faciliteter/laboratories/facilities . We also have the largest pool of hydrogeophysical electromagnetic
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or a closely related field is required, or for a 4-year integrated Master’s and PhD program. Essential qualifications include: a strong motivation for fundamental research a solid background in particle
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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Biological and Chemical Engineering programme. The position
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Tenure Track Assistant Professor or Associate Professor in building information modelling and dig...
Assistant Professor or Associate Professor position from 1 October 2026 or as soon as possible thereafter. Job description The appointed candidate is expected (1) to develop a research programme in digital
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Tenure-track Assistant/Associate Professor/Professor in Ecophysiology and Ecology Department of B...
The Department of Biology at Aarhus University aims to advance and strengthen the Departments research and education program in ecophysiology and ecology. Therefore, we invite applications for 1-2
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: Advanced deep learning architectures Mathematical foundations of machine
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Postdoc in Decoding Biological Nitrification Inhibition (BNI) in Cereals: Integrating Metabolomic...
An ability to take initiative, develop, and manage research activities Proficient quantitative skills with data analysis and programming e.g. in R and python Documented experience in scientific writing and