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Field
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, electrochemistry, and process engineering to develop sustainable biomass-to-energy pathways and high-efficiency energy systems for Net-Zero communities. Key Responsibilities Biochar & Syngas Systems: Design, operate
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and optimization would be an asset Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR6620-VALERIE-018/Default.aspx Work Location(s) Number of offers available1Company
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medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry
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medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry
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-relationships, materials optimization, materials under extreme conditions, and generative AI. Candidates must possess substantial experience in artificial intelligence and machine learning methods, specifically
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management of brain diseases. In the present project, we work of next generation AI models to extend the molecular imaging capacity of Magnetic Resonance Imaging (MRI). Building on the various contrasts
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model. This work will build on recent studies in low-carbon fleet renewal and optimization under uncertainty, including approaches based on dynamic programming [9], fuel price and demand scenarios [10
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space-based astronomical image slicing spectrograph. The goal is to create and apply a 'digital twin' of the as-built system to simulate and optimize its performance. Key responsibilities include
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, particularly using reconstructed human skin models that mimic aging or wound-healing conditions. This work takes place in a multidisciplinary framework combining chemistry, biophysics, and tissue engineering
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Materials Research Center (SusMat-RC) at UM6P. The successful candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models