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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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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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1st October 2025 Languages English English English Postdoctoral researcher in ice sheet modelling Apply for this job See advertisement About us The Department of Climate is part of the NORCE Climate
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months. The candidate will hold a PhD in physics, geosciences, mathematics, or an equivalent field. Previous experience or demonstrated knowledge in palaeoclimate dynamics and climate modelling will be
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expertise in climate science, hydrology, earth and planetary science, and physically-based or machine-learning/AI-based climate modeling (e.g. hydrometeorological and/or atmospheric processes