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Job Title Postdoctoral Research Associate - Climate-Smart Feed Management and Nutrient Modeling Agency Texas A&M Agrilife Research Department Animal Science Proposed Minimum Salary Commensurate Job
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Area of specialization in IWRI Research and Education: Climate modeling, climate change and services Job description : We are seeking a highly motivated and dynamic postdoctoral researcher to join
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create models from the engineering and social sciences. Project description Although the 2019 Climate Law stipulates the Netherlands to be climate neutral in 2050, climate policy is lagging. Climate
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The Department of Environmental Science at Aarhus University invites applications for a postdoc position in climate modelling. The position is part of the research project ArcticPush, which
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
: 271598471 Position: Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in
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The Environmental Science Division at the Argonne National Laboratory is seeking a postdoctoral scholar to conduct model simulations with high-resolution global and regional climate models
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and climate policy, and be a skilled communicator with experience in policy analysis. Experience with visualization of energy modelling insights to varied audiences would be an advantage. A track record
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19 Months, Fixed-Term, Whole-Time Post Position Summary Applications are invited for the role of a Post Doctoral Researcher - energy systems analyst and modeller. The research project, SHIELD, is
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
to develop hybrid models for sea ice that combine coupled climate models and machine learning. Our previous work has demonstrated that neural networks can skillfully predict sea ice data assimilation
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Agency (ARIA). The PROTECT project (Probabilistic Forecasting of Climate Tipping Points) brings together cutting-edge AI, statistical, and machine learning techniques with climate modelling, aiming