41 phd-mathematical-modelling-ecological-modelling Postdoctoral positions at Nature Careers in Denmark
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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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and across disciplines within the Pioneer Center Land-CRAFT Contribute to development of teaching and PhD supervision activities in the Dept. of Agroecology or other departments at AU with which we
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qualifications at the PhD level in animal science Research experience in dairy cow nutrition and feed evaluation Research experience with the use of stabile isotopes and modelling rumen flows Experience in
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Two postdoc positions on the ecology and physiology of microbial key players exposed to oxygen de...
Denmark, Denmark. The successful candidates will study the physiology and ecology of microbial key players in global element cycles exposed to oxygen depletion. Aquatic oxygen-depleted environments
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the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases”, led by Prof. Daniel Merkle. The expected starting date is 1 Januar 2026, with
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The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in wetland biogeochemistry for resilient ecosystem restoration, starting 01-03-2026 or as soon as
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closely with the Department of Mathematics at Aarhus University. In addition, your organic chemistry skills will be instrumental in developing antioxidant artificial cells. These interdisciplinary projects
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The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in mapping current and novel soil health indicators, starting 1 January 2026 or as soon as possible
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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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computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling