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26FA0308 Posting Open Date 03/31/2026 Posting Close Date 04/07/2026 Qualifications Minimum Education and Experience PhD in economics or a social science field; knowledge of employee ownership models
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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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Segment Care image labels; shape active-learning loops and QC. Productionize models with PyTorch, Docker/Kubernetes, and AWS/SageMaker Prepares manuscripts for publications. Ensure all members of the lab
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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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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
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our model and practices. Collaborates with faculty, including the Honors Council, Faculty Fellows, and collaborative partners across campus for designing, implementing, and conducting the first-year
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stipend and benefits and is located one hour from New York City. Questions should be directed to: Matthew McBride, PhD, Department of Chemical Biology, the Cancer Institute of New Jersey, Rutgers University
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information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The Genomic Instability and Cancer Genetics (GICG) Research Program at Rutgers Cancer
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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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.). Ability to work collaboratively and independently. Must have at least one first-author publication in a peer-reviewed journal. Preferred Qualifications PhD or MD with experience in computational modeling