23 computational-physics "https:" "https:" "https:" "https:" research jobs at Aarhus University
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Mathematics. The positions have 1st September 2026 as earliest possible start dates. There are postdoc positions available in the areas listed here: https://math.au.dk/en/about/vacancies/postdoc/ When applying
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description You will be working primarily with collaboration parters of remote handling and maintenance under the EUROfusion program The position will focus on aspects of dynamics and control of robotic
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research opportunities at Aarhus University here: http://international.au.dk/research/ Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs
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an experience in technology-assisted monitoring or computational image analysis. Expected start date and duration of employment The position will start in June 2026, with exact starting date as agreed between
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at the Department of Physics. The position is available from the 1st of May 2026, or as soon as possible hereafter. Job description Your research will look at a special class of porous metal-organic frameworks (MOFs
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The project will involve both experimental and computational work and the candidate is expected to be comfortable with both. The candidate is expected to have (or be close to finishing) a Ph.D. in molecular
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and technical-administrative staff and you have a flair for establishing collaborative relationships. Read more about the Department of Food Science at: https://food.au.dk/ The place of work is
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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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will report to Professor of Medical Physics Stine Korreman. Your competences You have academic qualifications at PhD level, for example within the following areas; computer science, biomedical
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spatially explicit process-based ecological model (DEB-IBM) for muskoxen in the high-Arctic through the analyses of long-term GPS and acceleration data. using the model to estimate the (cumulative) impacts