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, 41512056). This position will have the opportunity to gain strong training in cancer metabolism, cell growth signaling, and mouse models. The position is aiming at publishing high-profile papers and pursuing
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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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to the field of cancer biology and pediatric sarcoma, under the direction of Principal Investigator. May use animal models and clinical specimens collected from patients. Under the direction of the Principal
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equipment; assists in writing protocols for IRB and IACUC. Genotypes distinct knockin and knockout animal model systems. Records, quantifies and analyzes data from experiments. Assists Principal Investigator
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be responsible for the design, analysis, interpretation, and presentation of experiments regarding the study of the pathophysiology of epilepsy or seizure disorders using murine models and human
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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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mechanisms of various brain disorders using murine models and iPSC-derived human neurons. The applicant should have strong background in neuroscience and/or biomedical engineering or computer science
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, the Post-Doctoral Associate conducts highly specialized and technical research involving animal models of cardiovascular disease. Among the key duties of this position are the following: Designs, executes
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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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researcher will be responsible for the design, analysis, interpretation, and presentation of experiments regarding the study of the disease mechanisms of various brain disorders using murine models and iPSC