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a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Laser-plasma accelerators (LPAs) are a compact alternative to conventional accelerators and
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We are looking to recruit a Postdoctoral Research Associate to work on an EPSRC Centre-to-Centre grant with Imperial College London and the Acceleration Consortium, namely ¿International
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the impact of collective effects in high space-charge regimes. The Accelerators and Ion Sources Pole of LPSC is involved in the design, construction, and operation of the PERLE machine, particularly in
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level densities, gamma-ray strength functions, and related quantities using particle accelerator facilities and advanced detector systems. The researcher will be responsible for the full experimental
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to reduce costs and support innovation to accelerate technology development and deployment for the tidal stream industry. The role is to develop computational tools for the hydrodynamic and structural design
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Postdoctoral position (M/F) on impedance and dielectric study of solid/solid interfaces in batteries
on metallic foil, calendering... Different electrode compositions, mass loadings, and thicknesses will be targeted. * Assemble the fabricated electrodes into specific cells, symmetric cells, full cells * Carry
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Foundation Semper Ardens: Accelerate. The postdoctoral position is a full-time, fixed-term role for two years. It starts on 1 June 2026 or as soon as possible thereafter. The School of Communication and
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focus will be on unlocking and applying regulatory knowledge to accelerate the transition. You will work multidisciplinary within a large network of partners from academia, government and the private
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to strengthening the position of New Approach Methodologies (NAMs) within the national and international regulatory ecosystem. Your focus will be on unlocking and applying regulatory knowledge to accelerate
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operational practices • Systematically exploring different formulations of mixed-integer constraints in grid optimisation problems • Developing machine learning models to accelerate mixed-integer