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qualification/experience in Robotics, Engineering, Computer Science, Maths or closely related discipline (e.g. social science applied to technology). Expertise relevant to one of these areas: distributed AI
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The School of Computer Science at the University of Bristol seeks to appoint a Senior Lecturer in Industrial Computer Science to act as academic industry lead within the School. This is a strategic
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, containerisation and workflow automation. Supporting computational workloads on high-performance computing systems, including optimisation for scale and performance. Providing technical guidance to researchers
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to parameterise and test new models and compare findings with geophysical datasets and historical eruptive records. There will also be the opportunity to contribute to an experimental program relevant
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applying workflows for elucidation of 3D chemical structure based on NMR spectroscopic data, funded by an EPSRC programme in collaboration with Professor Andre Cobb at Kings College London. We are one
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range transducers and arrays. Additionally, a high-performance computer cluster is available at Bristol can be used to run large and parallel models. You will have full access to these facilities. You
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supportive environment. The lectureship programme will provide up to four years WTE post-doctoral training or until CCT is reached, to allow the successful applicant to consolidate their career, develop
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Language Processing and Large Language Models, Distributed and Collective Artificial Intelligence, Reinforcement Learning and Multi-agent Reinforcement Learning or alternatively, from candidates innovating with AI in
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to the continued development of Engineering Biology within the School and play a key role in the Engineering Biology Centre for Doctoral Training (EngBio CDT): a collaborative PhD programme led by Bristol in
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. Secure research funding, supervise doctoral and postgraduate students, and mentor early-career faculty to support their professional development. You hold a PhD in Engineering, Physics, Computer