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://past2future.org ) with 24 partners. It has recently been funded by the EU horizon program. The aim of the position’s subproject here is to use latest spatially downscaled climate model results for the past (mainly
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Service) applications support the C3S Agriculture Micro-site and Mediterranean Demonstrator with agronomic insights and data Your qualifications: PhD in crop science, computational environmental science, or
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Research on long-term terrestrial paleoclimate and/or tectonics-climate interactions Participation in and contribution to an active, high-quality research program, as evidenced by publication in scholarly
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interests, successful applicants will have the following qualifications: Completed or soon-to-be-completed doctorate in one of the following or related disciplines: information science, science studies
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Qualifications / Experience: • A PhD in Physics, Geoscience or a related field • Proven expertise in numerical modelling using super computing clusters • Excellent knowledge of atmospheric physics • Proficiency in
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of studies, coordination of study implementation, data analysis and interpretation (with a focus on neuroimaging data analysis, usage of AI and/ or computational modeling of psychological processes
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Contributing scientifically to the BMD project, specifically through developing VREs and identifying available biodiversity and environmental data resources relevant for VREs Attending virtual and physical