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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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Mathematics and Mathematical Statistics. Duties include developing and conducting an individual program of research. The successful candidates will usually be associated with one of the departmental research
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(SEBS) and various other departments, is seeking an outstanding Postdoctoral Associate. The Postdoctoral Associate will conduct specialized research on a collaborative project on the origin, evolution and
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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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creating web-based pedagogical tools for secondary and college educators. Primary Duties and Responsibilities 1. Develop, plan and prepare lessons, training guides, and materials for a series of three
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 16 hours ago
, Technology and Policy Program (DOE-STP) is designed to provide opportunities for students, postgraduates, and faculty to participate in programs, projects, and activities at the Department. Fellows will
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/benefits/benefits-overview . Posting Summary Support research in an externally funded program investigating neuronal stress responses and the hypoxia-response. The Rongo laboratory within the Waksman
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policy analysis approaches and methods, including stakeholder interest and conflict analysis, benefit-cost analysis, utility rate development, program evaluation, regulatory policy analysis and report
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Associate will contribute to ongoing projects and have the opportunity to develop independent research aligned with the aims of the ADN lab. Current work focuses on machine learning and multivariate decoding