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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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to develop your own scientific concepts and communicate the results of your research verbally and in writing. Qualifications To qualify as a post-doc, you must have a PhD degree in a relevant field. You have
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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