110 computer-programmer-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" 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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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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The purpose of the role is to support the PI (Dr Rainer Groh) in the delivery of an ambitious research programme funded through a UK Research & Innovation Future Leaders Fellowship. By combining
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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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The purpose of the role is to support the PI (Dr Rainer Groh) in the delivery of an ambitious research programme funded through a UK Research & Innovation Future Leaders Fellowship. By taking
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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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initiatives lead by members of the Institute include the UKRI-funded INFORMED-AI and Probabilistic AI (Prob-AI) hubs and our BSc programme in Data Science. The post-holder will be responsible for developing
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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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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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improve the UK’s resilience to hydrological extremes. They will be responsible for leading an Early Adopters Programme and providing scientific input on the design of the FDRI catchment monitoring. What We