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frameworks. Expertise in modeling geophysical systems. Strong proficiency in machine learning libraries such as PyTorch. Proficiency in writing clean, efficient, and well-documented code. Knowledge
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also lead the application of the new code developments to open questions in Solar System and Exoplanet research. We particularly welcome applicants with backgrounds in (exo)planetary climate science
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. Demonstrate experience in marine spatial and multivariate modelling of ecological or environmental datasets and proficiency in coding environments such as R / Python / Matlab; track record of peer reviewed
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-SEA-2025-0166 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-SEA-2025-0150 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-PWA-2025-0167 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-SEA-2025-0158 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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Organization U.S. Department of Defense (DOD) Reference Code AFIT-2025-0022 How to Apply Click on Apply at the bottom of the opportunity to start your application. Description The Air Force
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://www.sdu.dk/en/forskning/sdu-climate-cluster Street Campusvej 55 Postal Code 5230 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger
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Website http://www.nottingham.ac.uk/ Postal Code NG7 2RD STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail