67 phd-mathematical-modelling-population-modelling Postdoctoral positions at Rutgers University
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(SHM), physics-based modeling, and data-driven analytics to enable predictive, performance-based decision-making and improve infrastructure safety, resilience, and lifecycle performance. The candidate is
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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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-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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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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administrative and population data sources. They will contribute to the development of peer-reviewed manuscripts, scientific presentations, and grants. They will work collaboratively in teams and engage in other
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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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research worldwide and reduce the burden of cancer in our catchment area. By engaging with and empowering our exceptionally diverse populations, and addressing their questions and fears, we will engender
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research worldwide and reduce the burden of cancer in our catchment area. By engaging with and empowering our exceptionally diverse populations, and addressing their questions and fears, we will engender
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: (1) epigenetic analysis in a mouse models of Parkinson’s disease related exposures, (2) elucidating molecular mechanisms of pesticide-induced changes in DNA methylation in a 3D neurosphere model in
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) implemented in-at-on- line for processes involving continuous manufacturing of solid dose powder based pharmaceutical products (more details below). Candidates should have a PhD in Chemical Engineering