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Bucks New York (DUFBNY): In partnership with the Field and Fork Network, we evaluate the implementation of DUFBNY where households with Supplemental Nutrition Assistance Program (SNAP) benefits receive
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gift from Joan and Irwin Jacobs, will join the cadre of trainees at the Center including those supported by the NIH T32 AIPrN training program. The program is designed to train the next generation of
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to design experiments and interpret results. • Prepare manuscripts for publication and present findings at conferences. • Contribute to grant writing and mentorship of students. Required Qualifications
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, population genomics, and disease management while supporting regional and national surveillance efforts. The Postdoctoral Associate designs and executes laboratory, greenhouse, and field experiments addressing
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longitudinal data, including survey and biomarker data from measurement burst designs. Evidence of independent scholarship, including a track record of peer-reviewed publications, and strong interpersonal and
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publishable research that advances pathogen biology, population genomics, and disease management while supporting regional and national surveillance efforts. The Postdoctoral Associate designs and executes
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UnitedKingdomTime, updated 2025/09/18, listed until 2026/03/17 03:59 AM UnitedKingdomTime) Position Description: Apply Position Description The Researching Engineering, Design and Educational Systems (REDES) team
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, United States of America [map ] Subject Areas: Human Centered Design Information Science Fiber Science / Textile Fashion Design Salary Range: $61,008 to $87,000 Appl Deadline: (posted 2025/07/11, listed until 2026/01/11
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] Subject Areas: Physics / Hard Condensed Matter Theory , Machine Learning , Material Science , Physics , Quantum Information Science , Soft Condensed Matter Theory , theoretical condensed matter physics
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Cornell University, Research Division Fellowship ID: Cornell-Research&Innovation-POSTDOC [#30325, WDR-00054209] Fellowship Title: Cornell Atkinson Postdoctoral Fellowship in Sustainability