2,062 computational-physics-"https:"-"https:"-"https:"-"https:"-"U.S"-"U.S" Postdoctoral positions
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Fudan University, Department of Physics/Atom Quantum Computing Lab Position ID: Fudan University-Department of Physics/Atom Quantum Computing Lab-PD [#29908] Position Title: Position Type
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for a postdoctoral researcher to join an experimental plasma physics program focused on high-energy-density and laser–plasma science. The successful candidate will contribute to the design, execution, and
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Postdoctoral Research Associate in Physical Geography ( Job Number: 25001689) Department of Geography Grade 7: - £38,784 to £41,064 per annum Fixed Term - Full Time Contract Duration: 22 months
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The Duarte Group works at the forefront of computational chemistry, developing predictive tools for reaction modelling and molecular design across catalysis, sustainability, and health. Alongside
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The Role and Department A 22-month fixed term full time Postdoctoral Research Associate (PDRA) position is available in the Department of Geography at Durham University The successful candidate will join the project 'NSFGEO-NERC Collaborative Research: Paleogeodesy at the Alaska-Aleutian...
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work on public health interventions to reduce consumption of harmful ultraprocessed foods (UPFs). Based in the Population Health Interventions Programme, the primary role of this post is to lead
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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: Lausanne, Vaud 1015, Switzerland [map ] Subject Area: Physics / Theoretical Quantum Condensed Matter Appl Deadline: 2026/05/02 04:59 AM UnitedKingdomTime (posted 2026/03/06 05:00 AM UnitedKingdomTime
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Physics (GRASP) Initiative -https://grasp.physics.harvard.edu , is now accepting applications for a postdoctoral fellowship in high energy theory. We anticipate a dynamic environment with interactions with
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. The candidate will lead computational analyses of these datasets, using the laboratory’s suite of existing AI/ML tools to assign structures to unidentified peaks in metabolomic datasets (e.g., https