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Position Description Postdoctoral Associate – National Tutoring Observatory Cornell University Description The National Tutoring Observatory (NTO) is based in Cornell’s Ann S. Bowers College
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PALOC « Patrimoines locaux, environnement et globalisation » est une unité mixte de recherche pluridisciplinaire en sciences humaines et sociales, sous la triple tutelle de l’Institut de Recherche pour le
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centralized. The successful candidates will work at the intersection of federated learning, foundation models, multimodal biomedical AI, privacy-preserving machine learning, continuous learning, and agentic AI
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developing computational models based on mass, momentum, and energy balance principles Strong skills in applying AI tools and agentic workflows to scientific research Some experience in proposing, planning
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learning, that is committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable economic development of Morocco and Africa. UM6P is an
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Infrastructure? No Offer Description Use real-world vessel data, agent-based modelling and digital twin technology to accelerate the transition toward zero-emission inland shipping. Job description The
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About UM6P: Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is committed to an educational system based on the highest standards
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Use real-world vessel data, agent-based modelling and digital twin technology to accelerate the transition toward zero-emission inland shipping. Job description The postdoctoral research is part of
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Would you be interested in exploring how multi-agent aerial manipulation can contribute to construction, in particular by assembling a pavilion? Job description Advancement of aerial robotics
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | 26 days ago
and well-defined infrastructure for high-fidelity physics-based computer simulations, is an ideal testbed platform. Models of the MDC will be simplified into static and hybrid reduced-order models (ROMs