68 phd-mathematical-modelling-population-modelling Postdoctoral positions at Rutgers University
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integration of observational constraints. Interest in or experience with the development of emulators of complex models is also valuable. The postdoctoral associate may also have the opportunity to work with
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programs Posting Summary The Guzmán-Vélez Lab at Rutgers University (PI: Edmarie Guzmán-Vélez, PhD) is seeking a highly motivated Postdoctoral Associate to join a multidisciplinary research program focused
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will use genetic perturbation and overexpression in vitro and in vivo (mouse) models to uncover principles that inform tissue repair, oral health, and host–microbe interactions. This position offers
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research with young children Experience with computational methods (e.g., Bayesian modeling, drift diffusion modeling, etc.) Equipment Utilized Physical Demands and Work Environment Overview Statement
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of the Director of PopQuIS, Program faculty, and designated mentors, the Post Doctoral Associate conducts specialized research, literature review and integrates a primary care framework to improve population and
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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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of the Director of PopQuIS, Program faculty, and designated mentors, the Post Doctoral Associate conducts specialized research, literature review and integrates a primary care framework to improve population and
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Minimum Education and Experience: · PhD in oceanography, atmospheric science, geophysics, economics, computer science, statistics, or a related discipline at time of appointment; · Familiarity with
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with metabolomics workflows (LC-MS, GC-MS) and integrative multi-omics analysis. Knowledge of statistical modeling and systems biology approaches. Experience with HPC or cloud computing environments
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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