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Join the Oxford Martin Programme on Forecasting Technological Change at the University of Oxford, led by Dr François Lafond, Prof J. Doyne Farmer, and Prof Max Roser. This pioneering programme aims
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those affected by environmental damage and climate change. For more information on the school, click here . Precourt Institute for Energy As part of the Stanford Doerr School of Sustainability
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or contributing to studies involving groundwater level forecasting and/or modeling, in coordination with specialized teams; - Contributing to the monitoring and reporting of regional and departmental piezometric
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Haas School of Business visit: https://haas.berkeley.edu/about/ The Energy Institute at Haas (EI) is a premier center for energy economics and policy. Our mission is to advance an economically and
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 13 days ago
the energy domain will be highly appreciated. Additional Information Benefits Monthly maintenance allowance: According to the values for Research Fellowships awarded by FCT in Portugal (https://www.fct.pt/fct
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that enhance both ecological and fishing community resilience. The successful candidate will lead efforts to couple a regional MOM6 Northwest Atlantic seasonal ocean forecast with an existing Dynamic Energy
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 12 days ago
research experience, particularly in the energy domain. Additional Information Benefits Monthly maintenance allowance: According to the values for Research Fellowships awarded by FCT in Portugal (https
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and work on multi-commodity energy districts? The envisioned research is part of the research program Intelligent Energy Systems (IES) performed within the Electrical Energy Systems (EES) group of TU/e
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academic goals with mutual respect and shared inquiry. The position supports research on forecasting agricultural production and yields using geospatial data, machine learning, and ground-based measurements
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to support energy management in buildings, integrating optimisation and forecasting models and algorithms; - development of interactive visualisation dashboards, including front-end components and integration