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university, seeks top students for attractive PhD stipends. The call is open until 1 February, 2026, with the earliest start date, 1 May, 2026. Please find more details and apply at https://math.au.dk/en/about
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aligned to the Science Team ‘Food Quality Perception and Society’ (FQS) at the Department of Food Science http://food.au.dk/en/foodresearch/science- teams/food-quality-perception-society/. The Science Team
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. You can read more about the Department of Management at: http://mgmt.au.dk . Further information For further information about the position and the department, please contact the Director of the Center
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for international researchers and accompanying families, including relocation service and career counselling to expat partners. Please find more information here: https://internationalstaff.au.dk/relocationservice
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Computational Biology (BiRC), Department of Molecular Biology and Genetics (MBG), Aarhus University (http://birc.au.dk), Denmark. The application deadline is 7 April 2026. The position We seek a highly motivated
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advanced data analysis, simulations, and/or mathematical modeling. The work involves close interactions with other employees in CaIFF and the principal investigators to foster methodological innovation and
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analysis and bioinformatic methods Experience in enzyme immobilization Expertise within environmental science research and/or PFAS analysis Experience in bioprocess engineering Eager to work with master and
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Master's and PhD students. Candidates will be responsible for creating a collaborative work environment within and outside QGG that integrates novel innovative research programs towards the green transition
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dependable. You find enjoyment in working with data, learning new techniques, and applying them in rigorous ways. Ideally, you are at the end of your Bachelor, or start of your Master programme. In terms
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Society at the Department of Food Science, Aarhus University ( http://food.au.dk/en/foodresearch/science-teams/food-quality-perception-society/ ). The position will be affiliated to science-based advice