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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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, 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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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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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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composites and develop science; and engineering methods for designing, scaling, optimizing and controlling relevant manufacturing processes. These positions will be based at the Rutgers’ School of Engineering
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metabolism/signaling using yeast as a model system. Among the key duties of the position are the following: The research will focus on the Nem1-Spo7/Pah1 axis, a phosphatase cascade that regulates whether
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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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application · Experience in implementation of quality assurance/quality control research operations and reporting · Conceptual modeling and creation of innovation ideas · Familiarity with data analytics