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. The research focus will be on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and to accelerate chemical discoveries for renewable energy
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talent development, psychosocial functioning, twice-exceptionality, academic acceleration, and program evaluation. The Postdoctoral Scholar will enhance the research mission of the Belin-Blank Center by
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: 1 year Appointment Start Date: Flexible Group or Departmental Website: http://www.sheltzerlab.org (link is external) How to Submit Application Materials: Email your application to Dr. Sheltzer Does
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Stanford Cancer Center Pediatrics Postdoc Appointment Term: Two years Appointment Start Date: 1/1/2026 Group or Departmental Website: http://www.sheltzerlab.org (link is external) How to Submit Application
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Cornell University, Cornell Laboratory for Accelerator-based Sciences and Education Position ID: Cornell-CLASSEPhysics-EPPPD [#31502] Position Title: Position Type: Postdoctoral Position Location
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 8 hours ago
advanced computational techniques grounded in physical laws. The research will accelerate the development of reliable predictive capabilities for high-impact, low-frequency rainfall extremes. The successful
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scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR stands out in the research
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Postdoctoral Associate, Experimental Particle Physics Postdoctoral Associate, Experimental Particle Physics - CLASSE The Cornell Laboratory for Accelerator-based Sciences and Education (CLASSE
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AM UnitedKingdomTime, listed until 2026/04/17 04:59 AM UnitedKingdomTime) Position Description: Apply Position Description The Cornell Laboratory for Accelerator-based Sciences and Education (CLASSE
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offers a variety of opportunities to collaborate with translational scientists and clinicians on applying mathematical modeling to accelerate the development of novel therapies for cancer