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science, polymer engineering, physics, and chemistry. About us This position will be placed in the Division for Computational Mechanics and Materials Engineering , which belongs to the department
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related to staff position within a Research Infrastructure? No Offer Description You will join the GIN: https://neurosciences.univ-grenoble-alpes.fr You will be supervised by Julien BASTIN (Inserm Research
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Number: JR93360 Position Summary The Ushiki Lab investigates the molecular mechanisms of cis-regulatory function and how noncoding genetic variation alters gene regulation in human disease. Our work
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nutritionists, food scientists and bioinformaticians to investigate the mechanisms whereby gut microbes interact with the host, with diet and thus modulate health. Demonstrable experience of bacteriological
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mechanical robustness during battery operation with controlled debonding-on-demand at end-of-life to enable direct recycling. Within this project, the focus of the Department Structure Formation (SF) is on
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
. Regarding our auditory focus, we seek to understand how the molecular machinery in auditory brainstem synapses enables neuronal computations at some of the fastest speeds in the central nervous system
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. Our Laboratory for Mechanics of Materials and Nanostructures is looking for a highly motivated candidate. Post-doc in Simulations of Thin Film Growth Your tasks You will work on applied research and
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, candidates with prior experience in theoretical physics, fluid mechanics, kinetic theory, dispersive equations or harmonic analysis will be given special attention. The Postdoctoral Associates will be
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regulation mechanism and AI technology. About the Department The Institute for Health Informatics (IHI) educates students and conducts research in the fields of biomedical and health informatics. In that work
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Systems Biology, where we investigate the complex mechanisms of how plants balance stress responses versus growth, utilizing multi-omics data to improve crop resilience and yield. The second pillar is