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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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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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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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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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The successful candidates should have the following qualifications: A PhD in Environmental Toxicology, Chemical Engineering, Environmental Chemistry, Materials Science, or closely related fields. Solid
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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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’ profile We are looking for applicants with a PhD in the relevant field of innovation management, business and, economics, or adjacent disciplines with a strong or promising publication track. Moreover, we
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highly motivated candidate who meets the following qualifications and characteristics: PhD (completed or soon to complete) in Software Engineering, Computer Science, Artificial Intelligence, or a closely