27 phd-in-mathematical-modelling-population Postdoctoral positions at University of Southern 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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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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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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of the extremely wealthy individual. The postdoc project enquires into these ethical obligations and should aim to sketch a model of the moral requirements of being extremely rich. We expect the postdoc project
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New Root Narrative” (PACA). PACA seeks to map post-anthropocentric social theories that challenge the nature-culture divide and investigate traces of these theories in the population. It assesses
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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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disorders is crucial to identify vulnerable population and develop effective prevention and intervention strategies. Using a focal cortical ablation model in pregnant rats, the project explores neurological
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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
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, pharmacy, mathematics, computer science and biology. The Department’s research thus contributes to new knowledge and solutions with applications in the areas of climate, environment, energy and health