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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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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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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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: Possible research topics involve developing and using advanced electronic structure, quantum dynamics and enhanced sampling methods to study photochemical reactions in biomolecules. The successful candidate
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participate in Cornell Atkinson activities. Cornell Atkinson Postdoctoral Fellows are afforded professional development support via the Sustainability Leadership Program (SLP). As part of SLP, Fellows complete
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the appointment. The salary is competitive with additional funding available for professional development. The review process will start in March 2025, and continue until the positions are filled. Minimum
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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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. This postdoctoral associate position will be housed in the Department of Plant Biology at Rutgers University, New Jersey in Vaccinium breeding program of Dr. Gina Sideli. This position will also work with Rutgers and
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the developing Rutgers Sexual and Gender Minority Institute (RU-LGBTQ) has an exciting opportunity for a postdoctoral associate. This is 1-year appointment with a start date no sooner that March 1, 2026 and
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of all research projects, NJ-STEP director and the self study faculty lead, as well as other team members will participate in the decision-making process for developing the final design of the analyses