23 phd-mathematical-modelling-ecological-modelling Postdoctoral positions at University of Southern Denmark in Denmark
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Denmark (SDU). The position is in an exciting 6-year project supported by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases
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Job Description The Department of Biology at the University of Southern Denmark invites applications for a position as postdoctoral researcher in aquatic microbial ecology and biogeochemistry
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transcriptomics and bioimaging to study human liver biopsies and advanced, preclinical models. A combination of wet-lab and computational biology, close ties to the clinic, and a wonderful team of early career
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an open 2-year postdoc position in relation EUROfusion; specifically, on remote maintenance of fusion power plants. The project is on modelling and controller design for the transporter robot for extracting
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oxygenation, might impact algal ecology. The work will be conducted in the Villum Foundation-funded center EnBiE (Center for Environmental and Biological Evolution) with the Nordcee group (www.nordcee.dk
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project supported by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases”, led by Prof. Daniel Merkle. The expected starting
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cell-specific transgenic strategies coupled with detailed physiological characterization of these models. This will be done using a variety of techniques including metabolic cage studies in mice, a range
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the kidney’s electrolyte and water reabsorption. The postdoc will be expected to explore the potential of modulating bile acid signaling in cell and mouse models and perform metabolomic and transcriptomic
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at the Department of Biology, University of Southern Denmark (SDU) in Odense, Denmark, and involves close collaboration with the Deep-Sea Ecology and Technology group at the Alfred Wegener Institute (AWI) in Germany
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static and dynamic program analysis, tailored to the challenges of cross-language data communication. In particular, to systematically model and analyze cross-language communications to discover hidden