16 algorithm-development-"Prof"-"Prof"-"Prof" Fellowship positions at University of Leeds
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decision making, while you will be capable to apply machine learning and computational algorithms of social choice. This post is associated with following projects: Embedding EDI in the Distribution
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delivering actionable insights that can lead to real policy change. You will join a team with a strong history of applied research in the field of carbon accounting. The University of Leeds has developed a UK
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flows, using data on e-mobility demand, traffic and parking patterns, and grid configuration. This work will contribute to the development of statistical models to predict and support power supply
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% of salary . Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls. Personal Development
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patient safety. Our methods include: systematic literature reviews; qualitative, quantitative and mixed methods studies; complex intervention development; evaluation of interventions, including trials. We
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: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls. • Personal Development: Access to courses run by our
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. Personal Development: Access to courses run by our Organisational Development & Professional Learning team. Access to on-site childcare, shopping discounts and travel schemes are also available. And much
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geophysicist looking for an innovative research challenge? Would you like to apply seismic expertise to the exploration and development of urban geothermal resources? This could be the research position for you
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: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls. • Personal Development: Access to courses run by our
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Do you want to further your career by applying your quantitative data analysis and modelling skills as part of an international multidisciplinary project on developing early warning systems