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team provide first line library support and signposting to all our customers, including staff and students. Located in the Fountains Learning Centre, the team handles a wide breadth of library and
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of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet and glacier models, based on large ensembles
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The Medicines And Healthcare Products Regulatory Agency; | Canary Wharf, England | United Kingdom | 19 days ago
candidate will have a MSc in Data Science, Statistics, Machine Learning, Computer Science or a similar quantitative discipline or demonstrable equivalent professional experience Proven experience analysing
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This is an exciting opportunity for an outstanding academic or practitioner to join a highly professional and motivated team to teach across our nursing programmes. The School of Nursing and
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Shrivenham and will undertake high-quality scholarship and support a range of professional military and security education courses at the postgraduate level. Successful candidates will teach and supervise
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vision, robotics, machine learning and natural language processing (CSRankings) and were 7th in the UK for REF2021 outputs in Computer Science research. CVSSP and Computer Science are at the core of the
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, emphasising our commitment to widening opportunity through the power of education and contributing our talents to creating a fairer world, and a more prosperous region. We are putting inspirational learning and
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challenge. This project builds on our preliminary work using reinforcement learning to develop control strategies and aims to develop an advanced controller based on reinforcement learning that will optimise
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Our inclusive and vibrant community exists to advance education, religion, learning, and research. We have around 275 non-academic staff, as well as approximately 130 teaching Fellows and around 800
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Full time: 25 Hours per week Fixed term: 12 months We are looking for a candidate to join the University of Edinburgh to conduct research on Machine Learning, Reinforcement Learning, or LLM