95 parallel-and-distributed-computing-"Meta"-"Meta"-"Meta" positions at University of Bristol
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the Accelerated Graduate Entry Veterinary Programme, which uses a problem-based approach to learning, enabling students to achieve the expected learning outcomes from clinically-based case-based
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The School of Computer Science within the Faculty of Science & Engineering is seeking to appoint one Lecturer in AI and Animal Biometrics as a fixed-term positions. The appointees will be expected
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how this will link to and expand existing research activities. This post will specifically support the new postgraduate-taught programme in Engineering with AI (first intake planned for September 2026
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comparative genomics; and 3. Link morphological and functional variation with computational functional modelling. The project is in collaboration with Prof. Mary O’Connell at University of Nottingham. I am
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programme that aims to improve outcomes for children across the UK. You will work closely with internal and external stakeholders to ensure the smooth running of the project, with responsibility for a wide
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from underrepresented and disadvantaged backgrounds. This may include leading our residential Summer School programme, Insight into Bristol; supporting other projects such as Access to Bristol
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and computational aspects of Machine Learning and Artificial Intelligence. We are looking for a world-class researcher in any of these areas. The School is one of the UK’s leading centres
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Computer-aided design (CAD) is widely used in engineering to accelerate and optimize the design process. Applying CAD and related computational approaches to the engineering of biology would have a
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REPHRAIN , the National Research Centre on Privacy, Harm Reduction and Adversarial Influence Online, leading the programme of work on developing a Cyber Security Body of Knowledge (CyBOK ), leading an EPSRC
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networks. You should have experience of building machine learning models for environmental applications. A high level of data science and computational expertise is essential, as is experience with Bayesian