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the Franklin, you will bring the scientific knowledge and skills needed to deliver a specific research project within a team delivering a research program. Through this work, you will build scientific
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programme, ensuring all students are supported appropriately throughout the UCAS applications process. To lead on the evaluation of the programme, providing supporting evidence for the University’s APP, and
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of Immunity – Artificial Intelligence (CoI-AI) Programme, a pioneering initiative that integrates human challenge models, advanced microbiology, and artificial intelligence to accelerate vaccine discovery
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autonomy: learning-based systems that can operate safely over long horizons, respect physical constraints, and provide predictable closed-loop behaviour. By grounding reinforcement learning in stability
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computing devices, and cloud analytics pipelines. Implement AI-driven diagnostics and battery state estimation algorithms. Collaborate closely with industry stakeholders to co-develop next-generation battery
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Project summary Recent advances in artificial intelligence (AI) have fuelled the idea of building “AI scientists”, i.e., systems that can autonomously perform part or all of the research process
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criteria: • Relevant PhD/DPhil (or be near completion), in engineering, physics, mathematics, or similar, together with relevant experience • Strong background in mathematical optimisation
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physical activity in schools to help deliver an inclusive, engaging School Games programme. You will help coordinate and promote competitive sports opportunities across Key Stages 2–4, working closely with
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contracts- working during university term times, paid leave is paid on Christmas, summer and easter. Employee Assistance Programme and Counselling Service- 24/7 support. Uniform provide plus the tools you
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student data quality across the team. Ensure your team are given clear information and objectives as part of their appraisal process and that these are monitored on an ongoing basis. Engage in sector wide