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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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School of Electrical Engineering and Computer Science at KTH Job description Research in collaboration with medical doctors for patient data analysis using machine learning has a high impact on
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environments. - Efficient and robust translation between GAI and robots with reliable two-way interfaces - Dynamics-aware mission planning and execution with multi-modal sensor data Quantum Machine Learning
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on earlier and on-going research on automated data collection in organs-on-chip, a new project is now being initiated to explore how machine learning and the combination of different types of data (optical and
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, advanced behavioral methods, machine learning and eye tracking (simultaneously in two participants) will be used to identify cues that the brain uses to determine another person’s direction of covert
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. For this position, a PhD in computer science, signal processing, applied mathematics, machine learning, biomedical engineering, or an equivalent degree in a related field is required. We require documented knowledge
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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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doctoral students active on both campuses. Learn more about the Department here: https://www.uu.se/institution/arkeologi-och-antik-historia . Center for the Human Past The CHP is a pioneering initiative that
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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