82 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" uni jobs at University of Bristol
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The School of Physics seeks to recruit a Partnerships Manager for its EPSRC funded Quantum Information Science and Technology Centre for Doctoral Training programme (https://www.qist-cdt.info
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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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, 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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live-imaging, immunohistochemical, and transcriptomic studies of wound repair using zebrafish and arabidopsis models tissue damage/repair. You will join the lab of Professor Paul Martin, (http
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at the University of Bristol and our research is highly interdisciplinary, with opportunities for collaboration nationally and internationally. More information about our research can be found here: https
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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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for this appointment. A summary of our approach can be found here, http://www.bristol.ac.uk/students/support/wellbeing/request-support/services/counselling/one-to-one/ . Please see the attached Job Description and
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supports people to achieve their potential, please see our staff blog: https://engineering.blogs.bristol.ac.uk/category/engineering-includes-me/ Contract type: Open ended Work pattern: Full time Grade: J/K/L
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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://engineering.blogs.bristol.ac.uk
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to the development of robust, reproducible machine learning workflows. The role forms part of a nationally significant research programme with strong policy relevance, working in collaboration with the Imago Data