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To address these challenges, the PRICELESS project aims to perform simultaneous measurements of flow velocity and Planar Laser-induced Fluorescence (PLIF) on OH and NO molecules at high repetition rate up to
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The successful candidate will use state-of-the-art NMR
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Institut de Recherche pour le Développement (IRD) | Montpellier, Languedoc Roussillon | France | 2 days ago
Optional Skills / Knowledge Expertise in statistics Expertise in high-performance and parallel computing Expertise in neural networks Personal Qualities Intellectual curiosity Autonomy Adaptability Rigor
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description At the Futuroscope site
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enabled High-Performance Computing environments is an asset Open minded critical thinker, willing to actively contribute to the further development of multi-cultural and multi-disciplinary research team
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description At the Futuroscope site
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description He/She will lead the study of MOF adsorption properties
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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funded through the EU Research Framework Programme? Other EU programme Reference Number 2026-R0235 Is the Job related to staff position within a Research Infrastructure? No Offer Description Performing
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. The person will be employed at the Department of Computer Science and have access to high-performance computing resources suitable for large-scale machine-learning and foundation-model experiments. They will