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Field
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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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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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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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. 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 subsequent scientific analysis and interpretation, also involving machine-learning approaches. To develop and benchmark the analysis, we will on the one hand aim to employ available frameworks 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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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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. This eligibility requirement must be met no later than the time the employment decision is made. Prior publications within top machine learning venues. Prior experience with under supervised deep learning during PhD