30 modeling-and-simulation-post-doc Postdoctoral research jobs at Aarhus University in Denmark
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the skulls of head-first burrowing lizards? Then the Department of Chemistry invites you to apply for a 2.4 year post doc position in Henrik Birkedal’s research group. Expected start date and duration of
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The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in crop modelling in climate adaptation and resilience, starting 01-12-2025 or as soon as possible
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Applications are invited for a 2-year position in the field of CFD and modeling of heat pumps at the Department of Mechanical and Production Engineering, Aarhus University, Denmark. Expected start
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, AMBA and EQUIS accreditations. Further information For further information about the position and the department, please contact Head of Department Thomas Quistgaard Pedersen Tel.: +45 27467467, E-mail
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target trials, group-based trajectory modelling, mediation analyses, and Bayesian modelling approaches to investigate adherence to cancer treatment and recurrence. The research fellow will join a vibrant
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2026 or as soon possible. Job description This position will involve designing, conducting, and analysing experiments to understand the impact of inflammation on the gut-brain axis in the zebrafish model
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We are seeking candidates for a post-doctoral position within the field of correlated disorder in crystals. The position is for three years. In case further external funding is secured within
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the biogeochemical mechanisms that underpin the resilience of restored wetlands, integrating field observations, laboratory experiments, and modelling approaches. You will explore how nutrient dynamics, hydrological
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microscopy, optical interferometry, vacuum technology, finite element method simulations will be involved. Applicants should hold a PhD in Physics, Nano-science, Engineering or similar, experience with optics
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computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling