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and the Brazilian coast. Research proposals must be positioned at the interface between biological oceanography and physical oceanography, with a particular focus on physical–biological coupling
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The candidate will hold a PhD. in oceanography or marine ecology and have significant experience in 3D modeling, ideally at the interface between physical and LTL (biogeochemical) models, between physical and HTL
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available on the official website of the Institute of Oceanography and Fisheries (https://galijula.izor.hr/zastita_osobnih_podataka/ ). The results of the call will be published on the official website
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Laboratory of Oceanography of Villefranche | Villefranche sur Mer, Provence Alpes Cote d Azur | France | 25 days ago
spectrometry Contacts: Eva Ternon, Laboratory of Oceanography of Villefranche (LOV), [email protected] Karine Sellegri, Laboratory of Physical Meteorology (LaMP), [email protected] In the frame of the ERC
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 17 days ago
with related fields, including marine biogeochemistry, physical oceanography, environmental genomics, remote sensing, ecological modeling, and/or data science (AI and machine learning). We
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less than one year. Website for additional job details https://www.ulpgc.es/bolsa-empleo/contratos_investigadores Work Location(s) Number of offers available1Company/InstituteInstitute of Oceanography
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Position Overview School / Campus / College: College of the Environment Organization: Applied Physics Lab Title: Postdoctoral Scholar in Physical Oceanography 4D-Var Modeling Position Details
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dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview
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including but not limited to geology, geochemistry, geobiology, geodynamics, petrology, geophysics, oceanography, atmospheric dynamics, climate science, atmospheric chemistry, Earth history, hydrology
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 1 day ago
and physical oceanography, data assimilation and machine learning. Gathering this large panel of skills, the team aims at improving our understanding, reconstruction and forecasting of ocean dynamics