151 web-programmer-developer-"St"-"St" Postdoctoral research jobs at Rutgers University in United States
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role of a successful candidate will be to develop compositions and processing of these resins that will enable high performance energetics with tunable mechanical properties. Dr. Singer’s lab, the Hybrid
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conduct independently or as assigned specialized research for a particular project. Participates in the development of performance standards, selection of methodology and instrumentation and coordination
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conduct independently or as assigned specialized research for a particular project. Participates in the development of performance standards, selection of methodology and instrumentation and coordination
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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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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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your technical and conceptual training, mentorship, and career development. It is an excellent opportunity for neuroscientists looking to advance their training in next-generation in-vivo approaches
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Demands and Work Environment Overview Level of decision making: Application materials, interview, and presentation. Scoore and Impact: Research Program and project Statement Posting Details Special
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, comprehensive benefits package, and a stimulating work environment that fosters growth and development. If you are passionate about scientific research and want to take the next step in your career, we encourage
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: Focus Data science and/or statistical methods development addressing questions of health, technology, housing, education, innovation and others impacting national and international urban communities
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have the opportunity to develop independent research aligned with the aims of the ADN lab. Current work focuses on machine learning and multivariate decoding of neuroimaging data to predict subjective