102 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at University of Bristol
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We are seeking a talented and enthusiastic postdoctoral (or working towards a PhD) scientist with experience and a track record in machine learning, particularly for applications of deep learning
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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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Interaction and physical computing. Supervise postgraduate research students working on topics related to hardware, fabrication and/or interactive systems. Teach effectively across the full curriculum
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Project description Electromagnetic (EM) sensing is emerging as a powerful enabling technology for modern high-value manufacturing. Advances in computing power and machine learning now allow us to
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, student engagement and supporting the development of future FinTech professionals. In this role, you will: Teach at undergraduate and master’s level, including lectures, seminars, tutorials and computer lab
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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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, 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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growing an area of research. To find out more about what it's like to work in the Faculty of Engineering, and how the Faculty supports people to achieve their potential, please see our staff blog: https
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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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order to detect microseismic events, characterise their sources, and image geophysical perturbations caused by industrial activities. The development of machine learning methods to efficiently process