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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 19 days ago
ocean models, available in-situ data, and satellite observations. The study builds on analyses from a consortium of models, such as Estimating the Circulation and Climate of the Ocean (ECCO, http
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Posting Information Posting Details Department Lampe Biomedical Engineering - 424601 Posting Open Date 09/28/2026 Application Deadline 10/02/2026 Open Until Filled No Position Type Postdoctoral
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models for multiple chronic diseases in real-world data and cohort studies. To successfully work in this position, experience of data-driven analytical approaches, machine learning and advanced
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analyse electrochemical free-energy landscapes and connect elementary-step energetics to catalytic performance apply machine-learning interatomic potentials and microkinetic models where appropriate
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Applications are invited for a Postdoctoral Researcher position to work with Professor James Davies and Professor Ronjon Chakraverty. This is an exciting opportunity to work on developing cutting
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23 Sep 2026 Job Information Organisation/Company Université Paris Cité Research Field Medical sciences » Health sciences Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions
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8 Sep 2026 Job Information Organisation/Company EPFL Department Civil Engineering Research Field Engineering Environmental science Researcher Profile Recognised Researcher (R2) Positions Postdoc
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capabilities interact with operational conditions, human intervention and the wider maritime and port logistics systems. The postdoctoral researcher will develop data-driven and model-based approaches to support
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to research on food systems that results in relevant and positive societal impact (for more information see www.mapp.au.dk ). The potential starting date is January 2027, subject to mutual agreement
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engineering parts. This position offers a unique opportunity to drive the development of system-level digital-twin and optimization methodologies—integrating electrolyzer models with renewable generation, power