20 coastal-area-modeling Postdoctoral positions at University of Southern Denmark in Denmark
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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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to coastal erosion, permafrost thaw, wildfires, and sea-ice loss. Despite adaptation measures, these impacts undermine the well-being of Arctic communities, both economically (e.g. by damaging infrastructure
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mathematics, or a related area. The ideal candidate has strong familiarity with several of the following subjects: algorithmics, mathematical modelling, graph transformation, algorithm engineering. Applications
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). Human and environmental exposure modeling (e.g., ConsExpo, Chesar, Vermeer). Proficiency in navigating ECHA databases, and use of chemical safety data (REACH dossiers, hazard classification, exposure
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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
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techniques. Experience with data-driven user modeling and AI-driven personalization (e.g., recommender systems, user profiling, or adaptive user interfaces) is highly desirable. Knowledge of or a passion for
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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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partial reprogramming techniques to reverse age-related decline in health, focusing on improving healthspan and organ function in aging models. Key recent publications from Dr. Sahu’s previous work include
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position as postdoctoral researcher for 2 years in the area of computational nanophotonics, with a focus on semi-analytical and numerical methods for treating electron-beam spectroscopies. We are looking
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. The research will bridge both established and emerging technical expertise within the section, encompassing areas such as FPGA and neuromorphic computing, Edge AI, machine learning, power electronics, and self