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), Shom (Service of Hydrography and Oceanography of the French Navy), and CNRS-LMA. The project is running until the end of December 2028. The goal of the proposed work is to perform 3D numerical modeling
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WPI-AIMEC established by Tohoku University and JAMSTEC | JP Nagar III Phase, Karnataka | India | about 2 months ago
essential for ecosystem prediction. Related GCs: GC1, GC2, GC3 [Related Fields of Expertise] Physical oceanography, meteorology, remote sensing, ecology, paleoceanography/paleontology, biogeochemistry
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workshops. Applicants must have completed all requirements for a Ph.D. in a relevant field (e.g. atmospheric science, oceanography, geography, geosciences, statistics, applied math, engineering, computer
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able to work independently, and enjoy collaboration in an international team. Your experience and profile: A PhD degree in phytoplankton ecology, environmental microbiology, biological oceanography or a
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able to work independently, and enjoy collaboration in an international team. Your experience and profile: A PhD degree in phytoplankton ecology, environmental microbiology, biological oceanography or a
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
institute of the Rennes University (IRMAR). The team expertise encompasses mathematical (stochastic) and numerical modelling of ocean flows, observational and physical oceanography, data assimilation and
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publications. Applicants must hold a PhD in Marine Science, Marine Ecology, Oceanography, Environmental Science, Geography, Spatial Ecology, or a closely related discipline. With no more than five years post
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and students, participating in proposal development, and contributing to peer-reviewed publications. Applicants must hold a PhD in Marine Science, Marine Ecology, Oceanography, Environmental Science
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test cases back to the UXarray project. Required Qualifications: Ph.D. in atmospheric science, oceanography, Earth science, or a closely related Earth or computational science field, conferred prior
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globally. Within the project you will gain skills and knowledge in physical oceanography, climate change, Earth Observation, Big Data and data science as well as machine learning. This is an exciting