29 modeling-and-simulation-post-doc Postdoctoral positions at University of Southern Denmark
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Job Description We invite applications from highly motivated and talented researchers for a 2-year postdoctoral position in advanced skin models, cellular immunology, and spatial transcriptomics
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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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, stimulation and transduction of T cells, and standard molecular biology methods, including cloning. Experience with flow cytometry and animal work is essential. Hands-on experience using cancer models in mice
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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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, you are expected to determine the molecular super-structure of TZ. You will monitor the gating mechanism of TZ in cellular models such as RPE1 or cultured dopaminergic neurons by immunofluorescence
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analyses to assess the relationship between genetic differentiation and phenological variation. Develop and implement advanced statistical models to quantify phenological responses. Collaborate with internal
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to fill an experimental post-doc position in Physics in the area of quantum optoelectronics and 2D materials The position is available from 1 October 2025 or as soon as possible thereafter. The successful
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background in molecular medicine or immunology. Experience with flow cytometry and animal models is a prerequisite, while basic understanding of extracellular vesicles will be an advantage. Research
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The postdoctoral researcher will work on a variety of projects within topology optimisation for multiphysics problems. The postdoctoral researcher will join the ‘Multiphysics Simulation and Optimisation’ (MSO
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the context of an advanced electric actuator. The candidate will evaluate existing research and commercial solutions, propose new methods, and potentially develop domain-specific models and toolkits to address