40 parallel-and-distributed-computing positions at AALTO UNIVERSITY in United Kingdom
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have to also apply successfully to the ARTS Doctoral programme during the six-month probation period for the position. The selected applicant is thus expected to to be able to develop a high quality
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on performance and safety, for example, through the efficient computation of Lyapunov and barrier functions, forward and backward reachable sets, optimal value functions etc. The broad goal is to build upon recent
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criteria of the Aalto Doctoral Programme in Engineering, and the selected candidate is expected apply for, obtain and accept the right to pursue doctoral studies at Aalto University. For more information on
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Devices (QCD) group at the Department of Applied Physics. In this position you have a chance to make history by demonstrating some of the first experiments of the future quantum-computer technology that is
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first experiments of the future quantum-computer technology that is orders of magnitude more efficient than existing quantum processors. Join us in shaping the future! As a result of five ERC grants
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offerings. In particular, we expect you to contribute to our undergraduate program by: Teaching diverse courses in Marketing (particularly at the BSc level), Supervising BSc theses, Developing and managing
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computational research on materials science, with a focus on metallic alloys. The Materials to Products (M2P) research group investigates the properties and performance of engineering materials processed by
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emphasis on research infrastructure and technology rather than preparation for an academic career path. You will be involved in research, but more focused on learning and improving how computing, workflows
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international theoretical/computational partners. Your experience and ambitions Master’s degree in the field of condensed matter physics or a closely related field. Existing skills and knowledge in electronic
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skills (e.g. Python, Julia) to merge concepts of chemical engineering, operations research and computer science, as you may also need to deploy machine learning to support data analytics and complex