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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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qubits and to apply it to real computational problems that cannot be efficiently solved on a conventional computer. Such computationally hard problems are found in optimization, machine learning, quantum
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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
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expected to work with VIVA+ Developer Team and other contributors across various universities and organisations. The work will also include implementing machine-learning based workflows to extract crash
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Employers). Mathematical skills in, e.g., optimization and stochastic processes, are desirable as are excellent programming skills and experience with machine learning. Knowledge in wireless communication
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the areas of automation, formal system verification, control, autonomous robots, machine learning, and AI. The Automation group is an integral part of the Department of Electrical Engineering (E2) which
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insight into the nuclear energy sector. You will find a field eager to learn of your findings, and also allowing you to develop new contacts and extend your scientific network. Project description
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This position will expose you to the state of the art in machine learning for distributed radio localization and sensing for various applications, and allow you to collaborate with world-leading
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of PhD students and postdocs. The CS group is internationally known for its academic research in wireless systems, fiber-optical communications, coding, information theory, and machine learning. CS is
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sector. Qualifications You should have, or expect to soon obtain, a PhD degree in Chemical Engineering or a related subject area. Experience with machine learning / artificial intelligence modeling is