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to the development of statistical models to predict and support power supply planning. You are expected to mainly work on the EU-funded project "ePowerMove: Enabling large e-fleets participation in power systems
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African teams and other international specialists. Within Cumulus, you will lead the development of “downscaling” methods for sub-seasonal (2-4 week) forecasts. Our priority will be to implement deep
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lead the application and evaluation of sub-seasonal (2-4 week) forecasts. Other members of the team will be developing innovative machine-learning methods for global sub-seasonal prediction and
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or health governance with a drive to undertake impactful transdisciplinary research? Do you want to develop your career in one of the UK’s leading research-intensive Universities? We are looking
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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