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. Candidates with a strong motivation and a Ph.D. background in biochemistry/cell biology/analytical chemistry/nutrition are encouraged to apply. Rutgers, The State University of New Jersey, provides competitive
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. Our mission is to move beyond descriptive biology and develop predictive, mechanistic models that connect molecular regulation to cellular and systems-level phenotypes. The Laboratory of Computational
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individuals who are passionate about science, learning, and collaboration. Candidates with a strong background in molecular and cellular biology, and/or experience in bioinformatics, will find this an ideal
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of developments in production of samples for structural biology using mammalian and bacterial expression systems and cell-based in vivo models of mechanotransduction. You will join a very lively and motivated
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of the project] * Background of the recruitment and description of the project To advance the GteX project, "Construction of Next-Generation Fuel Cell Systems with Innovative Materials," we aim to develop
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virology, hostvirus interactions, and mechanisms of viral pathogenesis. This position requires technical expertise in molecular biology, cell culture, and animal models, as well as strong organizational and
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Infrastructure? No Offer Description This project is part of the European Commission Marie Sklodowska-Curie (MSCA) Doctoral Network GRAIL “Gamma Radiation from the Atmosphere for Investigation and Learning” https
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on a unique cohort of 1,750 human liver samples and 400 blood samples and integrates high-resolution genomic approaches (ultra-deep WES, ddPCR, single-cell RNA-seq, spatial transcriptomics). Main
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, UMR3738 and the PRAIRIE Artificial Intelligence Institute. The team recently won ERC StG funding, which is the subject of this recruitment. MULTIview-CELL ERC StG : https://www.ins2i.cnrs.fr/fr/cnrsinfo
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multidisciplinary and dynamic research team utilizes state-of-the-art structural biology, biochemistry, cell biology, and biophysical techniques to explore the molecular basis of cell signaling across biological