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Job Title Postdoctoral Research Associate- Silicon Isotope Specialist Agency Texas A&M University Department Oceanography Proposed Minimum Salary Commensurate Job Location College Station, Texas Job
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topics. Requirements Minimum Acceptable Education & Experience: Ph.D. in Marine Biology, Ecology, Oceanography or related field Demonstrated expertise in remote sensing, machine learning and data
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, microbiology, biotechnology, agricultural business and food systems, landscape architecture, food and nutritional sciences, ecology and evolution, marine science and oceanography, environmental sciences and
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Position Overview School / Campus / College: College of the Environment Organization: School of Oceanography Title: Postdoctoral Scholar – Scientific Program Manager, Paros Geohazards Center
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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 | about 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