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Medicine and Science Overview The Rutgers Institute for Translational Medicine and Science (RITMS) was founded in January 2016 and is directed by the Vice-Chancellor for clinical and translational science
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of findings. The research program is focused on understanding the role of extracellular vesicles and steroid hormones during pregnancy in shaping brain development and behavior. The Postdoc is expected
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productivity, performance, and overall fit. The postdoctoral program enables associates to build a high caliber scholarly portfolio in social-structural determinants of health, intersectionality, and community
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, the National Science Foundation and others that include a mix of research design, fieldwork, data science, simulation modeling, writing, and presentations. The overarching goal of the Postdoctoral Associate will
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communication skills, excellent computer literacy. Certifications/Licenses Required Knowledge, Skills, and Abilities This research over a large span of life science topics and technical approaches, including
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experiences and individual differences, as well as cognitive modeling of decision-making in both lab and realworld settings. Successful candidates will be supported in building a research program at the
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conduct highly specialized and advanced experiments using established scientific protocols and procedures and, in some cases, designing new protocols; summarize findings and publish results in research
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research program addressing important and fundamental questions. To support this effort, interdisciplinary and translational approaches are encouraged. Qualified candidates must be a recent recipient of a
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Minimum Education and Experience: Applicants must have a Ph.D. in Civil and Environmental Engineering, Industrial Engineering, Coastal Marine Science, Computer Science, Electrical Engineering, or a closely
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for the scientific operations of the laboratory; and submits grant applications to obtain independent research. Among the key duties of this position are the following: Performs various research, statistical analyses