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production through fusion Quantum Physics and Information Technology aiming to develop and utilize quantum technology Surface Physics and Catalysis with a particular focus on catalyst computation
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to enhance efficiency, power density, and performance in applications such as high-performance computing (HPC) systems and artificial intelligence (AI) accelerators. Responsibilities and qualifications As a
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Job Description We are seeking two motivated PhD students to join the Marie Skłodowska-Curie Doctoral Network SPARKLE , a cutting-edge research network focused on “Advancing Polaritonics and Quantum
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Job Description Are you experienced in deep learning, computer vision, and probabilistic modeling? Join our high-profile EU consortium for the AUTOASSESS project at DTU Electro, where we have
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innovative researcher with a passion for developing new computational tools and contributing to cutting-edge research at the intersection of Physics and Earth system science. Background and relevance
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. Experience with simulation tools, including Isaac Gym, Isaac Sim, Aerial Gym. Experience with ROS, and especially real-life aerial robots. Experience with open-source tools for deep learning, computer vision