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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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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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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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) and BOPS (https://www1.gly.bris.ac.uk/BOPS/ ) research projects. The post-holder will conduct research to advance the use of high-density “nodal” arrays and/or Distributed Acoustic Sensing (DAS) to: (i
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. We are especially interested in candidates who complement and extend our existing AI research portfolio in areas including: Natural Language Processing and Large Language Models Distributed and
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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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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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with excellent communication skills. • You are adaptable and able to deliver high quality efficient and effective administrative • You have strong computer skills , email communication ( full training