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machine learning and modern artificial intelligence in Europe. The cooperation spans all levels, from leading experts at the senior scientist level to junior scientists obtaining their PhD. Over 60
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partners. The group develops intelligent robotic systems, with an emphasis on methods and systems that cope with imperfect knowledge and uncertain sensing. The positions are linked to the AI in
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partners. The group develops intelligent robotic systems, with an emphasis on methods and systems that cope with imperfect knowledge and uncertain sensing. The positions are linked to the AI in
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physical AI in direct collaboration with leading industrial partners. The group develops intelligent robotic systems, with an emphasis on methods and systems that cope with imperfect knowledge and
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systems, and other settings where machines must understand and adapt to individual human behaviour. The student will work across artificial intelligence, machine learning and embodied intelligent
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a relevant PhD/DPhil (or near completion) in Computer Vision Or Machine Learning. Strong publication record at the principal international computer vision and machine learning conferences. Sufficient
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undergraduate and graduate courses in areas such as robotics, AI, machine learning, healthcare product design, sensing and control, or embodied systems; supervise undergraduate, Master’s, and PhD students
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. The successful candidate will work alongside an active research group specialising in AI, blockchain, federated learning, trust frameworks, and intelligent systems . This fully funded studentship in
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advances into prototypes, pilot systems, and deployable solutions Develop research in areas such as quantum algorithms, quantum machine learning, hybrid quantum-classical methods, advanced machine
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intelligent algorithms and system frameworks that optimize cost, performance, and scalability. The role focuses on leveraging machine learning and reinforcement learning to enhance storage and service