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an exciting opportunity to contribute to a high-impact, mixed-methods study that champions inclusive, ethical and co-produced research with people living with dementia and their carers. You will work
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ML methods for postprocessing numerical ensemble weather forecasts over India to improve the skill of precipitation predictions and to generate hydrological forecasts. Role Summary Implement and test
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) in weather forecasting and hydrological prediction. The Research Fellow will develop ML methods for postprocessing numerical ensemble weather forecasts over India to improve the skill of precipitation
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workshops, methods training, joint stakeholder sessions, and work-in-progress presentations. The Centre's ECRs will work as teams on specific projects. The role-holder will also collaborate with ECRs based
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workshops, methods training, joint stakeholder sessions, and work-in-progress presentations. The Centre's ECRs will work as teams on specific projects. The role-holder will also collaborate with ECRs based
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workshops, methods training, joint stakeholder sessions, and work-in-progress presentations. The Centre's ECRs will work as teams on specific projects. The role-holder will also collaborate with ECRs based
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workshops, methods training, joint stakeholder sessions, and work-in-progress presentations. The Centre's ECRs will work as teams on specific projects. The role-holder will also collaborate with ECRs based
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. Demonstrate sufficient breadth and depth of specialist knowledge in the discipline and of research methods and techniques to work within established research programmes. Show a proven ability to communicate
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or a numerate discipline OR equivalent experience. Broad knowledge of probabilistic models, Bayesian inference and machine learning methods. Good knowledge of R, Python or both (links to project source
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. Demonstrate sufficient breadth and depth of specialist knowledge in the discipline and of research methods and techniques to work within established research programmes. Show a proven ability to communicate