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The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in crop modelling in climate adaptation and resilience, starting 01-12-2025 or as soon as possible
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The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in crop modelling in climate adaptation and resilience, starting 01-12-2025 or as soon as possible
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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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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
: 277494287 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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Job posting (PHY 06/2025) The Leibniz Institute for Baltic Sea Research Warnemünde (IOW) has a temporary vacancy starting 01.01.2026 for a Postdoctoral position in regional ocean climate modeling in
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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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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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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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applications is preferred. Experience with climate data analysis and crop modeling techniques is preferred. Knowledge of African agriculture and its challenges is a plus. Experience working in interdisciplinary
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to join our team at the CRSA to develop AI models, specifically deep learning approaches, to analyze and predict key climate variables such as precipitation and temperature which are essential