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and optimize their properties for neuromorphic computing through combined electrical and MOKE measurements, and train them to achieve artificial intelligence tasks. - Micromagnetic simulations - machine
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environments (Gazebo, Unreal Engine, or Unity). You have experience in artificial intelligence (Deep Learning, PyTorch) or embedded systems (ROS2, FPGA/VHDL design). You are curious, show scientific rigor and
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of results at conferences - interaction with team members and international collaborators The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning
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and risks (CREER), artificial intelligence and industrial and digital engineering (CERIS). It has 12 technology platforms and 1,600 partner companies. The position is part of the European BEST-CROP
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the fields of Artificial Intelligence (AI) and Earth Observation (EO). It has extensive experience in remote sensing, particularly in radar imaging and its application for measuring surface displacement. It
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(C2MA), the environment and risks (CREER), artificial intelligence and industrial and digital engineering (CERIS). It has 12 technology platforms and 1,600 partner companies. The person recruited will be
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to work on the use of hyperspectral data to explain and predict soil functions and communities in European mountains. We are looking for a candidate who has a very good command of artificial intelligence
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Foundation. The position will suit researchers interested in developing state-of-the-art methods in economics to develop our understanding of current and future environmental impacts of artificial intelligence
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institute (Information Sciences). Heudiasyc’s research focuses on information and digital technologies (computer science, automation, robotics, artificial intelligence). Its aim is to develop methods
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.) together with advanced artificial intelligence methods. The main objectives are to: ➔ design and experiment with multimodal AI models to improve the diagnosis and prediction of battery aging; ➔ explore and