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projects that characterize the toxicological effects of emerging environmental pollutants using advanced cellular and animal models. Rutgers NAMC is known for its transdisciplinary research on particle
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Institute of Microbiology is seeking a postdoctoral associate to participate in our studies of reproductive biology in the C. elegans model system. Specifically, the candidate will contribute to our
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will use genetic perturbation and overexpression in vitro and in vivo (mouse) models to uncover principles that inform tissue repair, oral health, and host–microbe interactions. This position offers
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interdisciplinary team working on the development of digital twin models for critically ill patients in the intensive care unit (ICU). This position offers a unique opportunity to contribute to a cutting-edge project
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voluntary tax-deferred savings options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http
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differentiation and the immune response, with mechanistic explorations to unveil new therapeutic strategies. Works with primary T cells in vitro and mouse models in vivo, effectively. Demonstrates expertise in flow
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voluntary tax-deferred savings options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http
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-learning loops and QC. Productionize models with PyTorch, Docker/Kubernetes, and AWS/SageMaker Prepares manuscripts for publications. Ensure all members of the lab are in compliance with the necessary
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modeling. City: New Brunswick State: NJ Location: Cook (RU-New Brunswick) Create a Job Match for Similar Jobs About Rutgers University Rutgers, The State University of New Jersey, is a leading national
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scientific communication skills, to both expert and lay audiences, in writing and verbally. Expertise in methodologies used by the TPG lab: statistical genetics, polygenic score analyses, longitudinal modeling