356 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" positions in United Kingdom
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, student engagement and supporting future data scientists and statisticians. In this role, you will: Teach undergraduate students through lectures, seminars, tutorials and computer lab sessions. Act as a
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, the UK’s second city. Our overriding aim is to be an outstanding institution at which to study through the provision of an excellent learning and teaching environment. We offer professionally relevant
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and machine learning techniques for the design of superconducting qubits, one of the leading qubit modalities used in today’s quantum computers. The optimal design of superconducting qubits is a highly
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. This project will develop responsive manufacturing technology that will have sufficient flexibility to overcome such problems by utilizing intelligent machine learning to control the printing process in real
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leading School. In this role, you will: Teach at undergraduate and master’s level, including lectures, seminars, tutorials and computer labs. Act as a personal tutor, providing academic and pastoral support
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the Manchester BHF CRE: Geometric Deep Learning for Complex Manifolds: Novel deep learning theories, models and architectures to simulate interactions within non-Euclidean, patient-specific cardiovascular
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computing, human–computer interaction, software and hardware development, machine learning, public interest technologies, digital literacy, sensors, networks, or other EPSRC-relevant technologies. One week
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the requisite experience. Desirable: B1 An awarded (or recently submitted or near completion) PhD in subject specialism or equivalent. B2 Experience with high dimensional statistical, machine learning and deep
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students and supporting their academic development. In this role, you will: Teach undergraduate students through lectures, seminars, tutorials and computer lab sessions. Act as a personal tutor, providing
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, machine learning, multiscale and multiphysics simulation, computational anatomy, medical image analysis, and integration of wearables and biosignal processing, applied to conditions ranging from cardiac