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of structured light with turbulence environments, fundamentals of optical propagation in scattering environments, and application of machine learning for sensing technologies. C2 Ability to demonstrate a degree
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Proven ability to deliver quality outputs in a timely and efficient manner. C2 Good programming skills and experience in deploying machine learning techniques in quantum device and circuit design and
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to the discipline, contribute to learning and teaching of machine learning/artificial intelligence on agreed programmes, and undertake administration and service activities in line with the School/College’s strategic
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materials on a daily basis for handwashing, machine washing and sterilising as required. 3. Check and replace nitrogen cylinders as required, taking delivery of cylinders and liaising with the Building and
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relevant subject (Statistics, Computer Science, Engineering, Mathematics); or a cognate discipline, or equivalent A2 Comprehensive and up-to-date knowledge of statistics, machine learning, and/or data
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leveraging recent advances made in multiscale mechanics and machine learning. The candidates should have a PhD, or have equivalent experience, in Mechanical, Civil, Chemical, Material Engineering, Physics
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theoretical and practical knowledge of current issues in statistics, machine learning, or related discipline A3 Knowledge of the wider subject area or subject specialism For appointment at grade 8: A4 Some
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Job Purpose As part of a cross-College team, this role will manage the services for Learning and Teaching and Student Experience for the School of Humanities. The role holder will be responsible
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knowledge of developing, operating and critically reviewing administrative systems. A3 High degree of computer literacy, including familiarity with databases and spreadsheets. A4 Knowledge of administrative
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Job Purpose To make a leading contribution to a Department of Defence, Defence Treat Reduction Agency (DTRA) funded project titled ‘Iterative simulation, artificial intelligence and machine learning