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23 Months, Fixed Term Full-Time Post Position Summary We are seeking a Post-Doctoral or a Senior Post-Doctoral Researcher in energy systems and climate-informed modelling to contribute primarily
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models, which are essential for understanding climate change impacts. The work involves reviewing existing modeling and model–data fusion techniques, and developing faster, machine-learning–based tools
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Università degli Studi di Padova - Dipartimento di Biomedicina Comparata e Alimentazione | Italy | 20 days ago
crab.Extension of the above described hydrodynamic and environmental characterizations into the near future to identify potential changes related to climate change.Production and provision of modelling outputs
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the project “Operational Copernicus Climate Change Agriculture Service”. It aims to develop a next-generation operational climate service for agriculture that integrates advanced climate data, modelling, and
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a group of species. Data on their distribution in these territories will be updated and forecast models of their future distribution will be developed, taking into account possible climate change
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of the Medical College's operating budget, as well as creating and maintaining financial models and schedules to assist with the overall budgeting and reporting needs of the department. Job Responsibilities
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on project findings and work to engage, get feedback on and promote the use of the Pro-Climate computer model as an aid to land use planning activities. The first case/living lab is work to promote awareness
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Department Energy & Environment Research About the Department The University of Chicago Institute for Climate and Sustainable Growth (ICSG) is a groundbreaking effort uniting faculty from across
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of innovation diffusion, coupled Earth and social system modeling, and/or climate change adaptation. The position will start in the summer/fall semester of 2026 under the supervision of Dr. Nicholas Magliocca
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regions, and may have also been observed in historical trends, but the processes driving this delay are not well understood. This project will use observations and climate model simulations to examine how