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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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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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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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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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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
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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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Engineering with AI (first intake September 2026). The successful candidate will contribute to the design, delivery, and potentially leadership of this programme. You will also support undergraduate teaching in
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research, education and inspiration. The role will also help to facilitate access to the collection through supporting a programme of engagement activities and workshops with research and local communities
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programme in probabilistic AI. The hub will develop the next generation of mathematically principled, scalable and uncertainty-aware AI algorithms. This will be achieved through: bringing together world