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IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Sete, Languedoc Roussillon | France | 1 day ago
bioinformatics, as well as an extensive international collaboration network. You will be supervised by: - Emmanuelle Roque d’Orbcastel (Ifremer, UMR MARBEC, Sète – France) - Jean-Christophe Auguet (CNRS, UMR
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of sensitive information (including ePHI) owned, controlled, and processed within the Student Health Center, working in close partnership with central NYU Information Technology Services. Responsibilities
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) Radio/physical-layer intelligence (e.g., channel estimation, CSI prediction, edge-deployable deep learning), or ii) Networking and control-plane intelligence (e.g., reinforcement learning for scheduling
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-capacity network printers, and peripheral equipment. Coordinate surplus and salvage operations in compliance with university policy. Ensure all asset installations, updates, and replacements rigorously
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the vehicles, computers control the various systems using a set of sensors and actuators distributed throughout the vehicle, and exchange data with each other via communication networks. This results in highly
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minimal space. About the CAVECORE Doctoral Network CAVECORE (Continuous, Automated Validation, and Evaluation of Cognitive Robots in Open-Ended Environments) is a Marie Skłodowska-Curie Doctoral Network
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and data analysis Your Profile Master's degree in chemistry, physics, or related fields Excellent communication skills and ability to work in a team are essential Very good command of written and spoken
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model interpretability (e.g., SHAP, attention mapping). The Ho lab culture emphasizes team science, rigorous mechanistic work, and translation; you will join a collaborative network of basic and clinical
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of Electrical Engineering research and education are performed in the areas of Communications, Antennas and Optical Networks, Systems and Control, Signal processing and Biomedical engineering, and Electric Power
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significantly to these functions through a multitude of direct, indirect, and interdependent processes. The objective of this thesis proposal is to study the direct and indirect controls exerted by the roots