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focused on Artificial Intelligence (AI)-driven retrosynthesis and reaction prediction. The successful candidate will develop advanced machine learning (ML) models to automate and optimize retrosynthetic
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://scholar.google.com/citations?hl=fr&user=QNfwyjgAAAAJ&view_op=list_works&sortby=pubdate Main mission : The overall objective of the project is to devise Artificial intelligence (AI)-driven strategy to discover a new
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Architecture at Ghent University is looking for an enthusiastic and motivated Postdoctoral Researcher. Our team conducts both fundamental and applied research on computational intelligence in information
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liquid and solid-state electrolytes using artificial intelligence, under the guidance of a supervisor. The successful candidate will contribute to projects involving the synthesis, physical and chemical
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Architecture at Ghent University is looking for an enthusiastic and motivated Postdoctoral Researcher. Our team conducts both fundamental and applied research on computational intelligence in information
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at the Laboratoire de Physique de l'ENS, within Team 23, Materials for Energy from Advanced Modeling, in a strongly interdisciplinary environment at the interface between atomistic simulation, artificial intelligence
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, or optimization**, connected to **artificial intelligence** and the research of **Antonin Chambolle** and his collaborators at CEREMADE. The position is a research position. The candidate will interact mainly with
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Ref.: 536424 Work type: Full-time Department: Department of Civil Engineering (14100) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow in Intelligent Structural
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education by blending the educational theory, best practice and culture from west and east. For detailed information about the university, please visit www.xjtlu.edu.cn . ABOUT THE INDUSTRIAL INTELLIGENT
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)." Successful applicants for this position will have the opportunity to work on cutting-edge research at the intersection of reinforcement learning (RL), world models, embodied intelligence, and human learning