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trips, plus an elective course. Examples of elective courses could include aqueous geochemistry, geomorphology, soils, glaciology, GIS, or numerical modeling. We are seeking candidates who can demonstrate
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: Numerical modelling, Geotechnics, Finite Element Method (FEM), Research and development projects, Scientific achievements DESCRIPTION (subject-matter, expectations, remarks): Requirements for Candidate: PhD
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applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from images and text metadata. Build and evaluate monocular depth pipelines
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
growth, skill development and lifelong learning and enjoy exclusive perks that include numerous retail and restaurant discounts, savings on local child care centers and special rates for performing arts
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water models for accurate and efficient simulation of free-surface flows. This includes model derivation, model analysis, and development and implementation of numerical methods. For more information, see
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Overview The Health Economics and Decision Science (HEDS) section in the School of Medicine & Population Health is seeking to appoint a Research Associate in Health Economic Modelling. You will
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IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Nantes, Pays de la Loire | France | 4 days ago
conducted within the Ecology and Modelling for Fisheries (EMH) laboratory of the HALGO unit, part of the DECOD Joint Research Unit. Members of the laboratory develop knowledge and methods supporting
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04:59 AM UnitedKingdomTime) Position Description: Apply Position Description One or possibly two postdoctoral positions to work on the theory of generative AI—particularly diffusion models and their
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trips, plus an elective course. Examples of elective courses could include aqueous geochemistry, geomorphology, soils, glaciology, GIS, or numerical modeling. We are seeking candidates who can demonstrate
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applicants will lead the labs efforts in action-less design, continual learning, planning with world models, and contrastive RL. Our laboratory has expertise in deep learning, including deep reinforcement