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This PhD position offers a unique opportunity to dive into the exciting area of reinforcement learning within the broader landscape of AI and machine learning. As a candidate, you'll have the chance
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sector. Qualifications To qualify for this position, you must hold a PhD or equivalent in Computer Vision, Machine Learning, Applied Mathematics or another related field, awarded no more than three years
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the structural, electronic (and photoluminescent), and dynamical properties of the 2D HOIPs, to compare with the experiments. In particular, machine learning force field (MLFF) will be exploited to study finite
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--1-12937 Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you driven by the challenge of advancing the boundaries of machine learning and computer vision
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Are you driven by the challenge of advancing the boundaries of machine learning and computer vision? Join the Computer Vision Group as a PhD student, and be at the forefront of groundbreaking
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computationally hard problems are found in optimization, machine learning, quantum chemistry of molecules, materials science, etc. Having contributed to pioneering research in the field of superconducting quantum
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Are you passionate about pushing the frontiers of machine learning, computer vision, and their applications in medical imaging? Join the Computer Vision Group as a PhD student specializing in deep
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, a combination of theory, numerical modeling and the application of machine learning for reduced physics and surrogate models are used. The research will be performed in an international environment
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Engineering, designed for 5 years. As a PhD student, you acquire the skills and knowledge to conduct independent research in the field of software engineering, with a special focus on software performance
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and teach machines how to recognize it. Would you like to help us out saving cyclist and e-scooterist lives? Information about the division and the department In the Vehicle Safety Division