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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 24 hours ago
PRCE project HIPOTHEC (« HIgh-order POlyhedral meTHods for Eddy Current testing simulations »), in partnership with the French National Power Company (EDF) Practical aspects: Secured two-year post-doc
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environments, specifically Computer Vision, Machine learning algorithms and methods for rock characterization, fragmentation prediction, and mining optimization. Specific Requirements Good academic and
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
, repeatable coverage of fire-prone regions. When combined with modern statistical and machine-learning approaches, these data enable robust mapping of fuels, assessment of burn severity, estimation of biomass
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 10 hours ago
methods. The general goals are to determine emissions, transport rates and mechanisms, loss rates and mechanisms, ozone depletion, and radiative forcing by these gases at sub-national to global levels
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 17 hours ago
transfer modeling, which leverages in-depth temperature measurements to estimate surface heating conditions. These methods are also invaluable in high-enthalpy test environments like arc jet testing, where
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advanced machine learning methods for multimodal and 3D medical image analysis in musculoskeletal medicine, in close collaboration with clinicians and computer scientists. PhD or Postdoctoral Researcher
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/ML methods for large astronomical datasets -Human-AI collaboration frameworks for scientific discovery -Large-scale applications to observational data from current and future surveys Access state
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previous five years Minimum Experience: 0-1 year Minimum Field of Expertise: Directly related education in research specialization with advanced knowledge of equipment, procedures and analysis methods
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, so that it can be easily used in practice (fast optimization, embedded decision-making, online updating). 1. Design a lightweight statistical/probabilistic surrogate model, integrating: • an estimation
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psycholinguistics, brain-computer interfaces, robotics, cognitive modeling of language, computational linguistics, educational technologies, computational modeling of evolutionary and adaptive systems, image and