16 algorithm-development-"Helmholtz-Zentrum-Geesthacht" 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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previously worked extensively in the phenotyping of SLE arthritis using imaging and development of better outcome measures. Our current work in this field has several aims. We want to advance understanding
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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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. 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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halls. 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
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? Do you want to develop your career in one of the UK’s leading research-intensive Universities? We are looking for an enthusiastic and agile post-doctoral Research Fellow to work on the Healthy Low
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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: Access
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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