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, including potential advancement to Associate Professor. Teaching & Curriculum Development Design and deliver undergraduate and postgraduate courses in areas such as mathematical statistics, machine learning
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computing and machine learning—unlocking new possibilities for precision metrology and non-destructive evaluation (NDE) in modern industry and healthcare. This PhD will push the boundaries of next-generation
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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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to life sciences, climate modelling, machine learning and computer vision, and wider data-driven research. Colleagues in the newly established Bristol Centre for Supercomputing (BriCS) operate the recent
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-based decentralised finance, and financial machine learning. The postholder will also be expected to carry out excellent research-led teaching and related admin duties to support in particular our MSc
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, aiming to enable faster, cheaper, and more robust production through machine learning, multi-scale modelling, and advanced process simulation. The successful candidate will be based at the Bristol
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implement more effective interventions based on up-to-date predictions. The ideal candidate will have foundational knowledge of machine learning and strong self-motivation. You will be supervised by Dr
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using novel hardware accelerators, and the development of fast simulations using generative machine learning techniques. The main focus of the postholder’s job will be data analysis (including
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, including potential advancement to Associate Professor. Teaching & Curriculum Development Design and deliver undergraduate and postgraduate courses in areas such as mathematical statistics, machine learning
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Design and deliver advanced undergraduate and postgraduate courses in areas such as mathematical statistics, machine learning, coding, and algorithmics. Play a pivotal role in programme accreditation