40 phd-in-mathematical-modelling-of-biochemical-reactions 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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farm-scale modelling of nutrient flows. Food security, climate change and loss of biodiversity represent three of today’s major societal challenges. Finding solutions for all these challenges requires
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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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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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mechanisms of cell signalling in several cellular models. The team combines omics technologies with bioinformatics, and functional validation of candidates by biochemical, cell biology, and imaging methods
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Organoid model culturing Mouse model optimization and validation You will report to the Professor Bent Deleuran and Associate Professor Stinne Greisen Your competences You have academic qualifications at PhD
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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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-scale research facilities, such as synchrotrons, for EXAFS and high-pressure XPS measurements. We also work in close partnership with the CatTheory group, using DFT-calculations and microkinetic modelling
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chemical–biological pathway. The advertised positions will support these efforts through research on advanced carbon capture methods, process modelling and optimization, and biological CO2 valorization in
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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