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structures. You will work closely with computational researchers to gather data, evaluate AI predictions, and design experiments. You will work in a team with 7 PhD-students and 4 postdoctoral researchers and
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conducts world-class research across the full spectrum of biological disciplines – from molecular biology and biochemistry to ecology, biodiversity, and computational biology. The department hosts
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4-year Group Leader (Assistant Professor) Position in Colloidal Chemistry Related to new ESS Ligh...
or pharma science. Profile and competences The candidate is expected to build an independent research group and conduct an active research program, which is internationally recognized and can attract external
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Tenure Track in Sensory and Consumer Science at Department of Food Science, Aarhus University, De...
strategy and working environment is viewed as important. The Department is responsible for a Master’s programme in Molecular Nutrition and Food Technology, taught at AU, Denmark, and a Master’s programme in
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DTU Tenure Track Researcher on Nanoreactors for Operando Visualizations of Nanoparticle Catalysis...
the relevant union. Starting date is 1 April 2026 (or according to mutual agreement). The position is a full-time position. The position is part of DTU’s Tenure Track program. Read more about the program and the
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systems and a vibrant interdisciplinary community at Aarhus University, including collaborators in biophysics, neurodegeneration, spectroscopy, and computational modeling. You would join a dynamic research
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BUG-ID is a Marie Sklodowska-Curie Doctoral Network project, funded by the European Commission, Horizon Europe Program. Commencing its activities in January 2026, the Network will provide PhD
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entering and working in Denmark here . Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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, catalysis and/or surface science. For Topic 4, candidates must have documented skills within computational modelling of atomistic processes. Experience in scientific programming, e.g. using Python, is