45 programming-"https:"-"https:"-"https:"-"IFM" positions at Nature Careers in Denmark
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Research Center (CORC). The successful candidate will contribute to the HyperCap research program by developing improved and cost-efficient synthesis routes for thermodynamic promoter systems used in gas
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program focusing on methodological as well as transferable skills, including dissemination, collaboration, and work planning CPPEM as a whole spans research from pharmacoepidemiology and clinical studies
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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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-year period and is funded by a Carlsberg Foundation Accomplish Grant to Prof. Nanna B. Karlsson. About the position This position is part of the research programme REGLA, investigating the physical
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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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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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cancer, inflammation, neuroscience, and personalized medicine. The department provides high-quality research-based teaching and contributes substantially to the medical degree programme. With around 500
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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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Research Assistant in Physical Computing and Wearables at the Department of Computer Science, Aar...
retainers (MouthIO). These smart retainers are invisible enabling subtle interaction. Your task will be to support the team in miniaturizing and programming the internal electronics of these wearable devices
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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