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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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encouraged. BSL-2 pathogens will be utilized. The successful applicant will be able to synthesize experimental data into conceptual models. The Kaelber lab is located in the Institute for Quantitative
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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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-Medina’s Neuroinformatics for Personalized Medicine lab in McGill University, Canada. Applicants must have experience working with computational modeling and multi-omics analysis in neurodegeneration. Ideal
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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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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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experience with mouse models are advantageous but not mandatory. Expertise in mouse work or computational biology will be considered a plus. Equipment Utilized EQUIPMENT UTILIZED: Standard lab equipment
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one programing language (e.g., R, STATA). · Excellent quantitative analytical skills, particularly in longitudinal modeling, administrative data analyses, and causal inference methods. Understanding
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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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dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview