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Open date: July 21, 2025 Next review date: Monday, Aug 4, 2025 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee. Final date: Monday, Sep 15, 2025 at 11:59pm
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Your Job: Lead the development and fine-tuning of AI models and LLMs specifically tailored for data mining in the physical sciences and engineering Fine-tuning and evaluation of open-source LLMs
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31st August 2025 Languages English English English Vacant Post doc position 2 years PostDoc in ocean biochemical modelling Apply for this job See advertisement About NORCE NORCE is a forward-looking
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to the study and teaching of the language and literature of ancient Greece and Rome, including Late Antiquity, as well as the late, medieval, and Neo-Latin language and literature. At the core of the program is
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design and AI-driven systems to improve healthcare decision-making and information delivery. Our research includes clinical decision support, user interface design, and the use of language technologies
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
the Renaissance Computing Institute (RENCI), we use data, creativity, and inclusive teaming to revitalize how science is done. Fostering data science expertise and creating cyberinfrastructure isn’t just about
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scholars are represented by UAW 4121 and are subject to the collective bargaining agreement, unless agreed exclusion criteria apply. For more information, please visit the University of Washington Labor
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Sustainable Thermoelectric Cooling Modules Project Overview: Thermoelectric cooling technology, prized for its solid-state operation, has predominantly relied on bismuth telluride (Bi2Te3). However, Bi2Te3
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motivated candidate, who will develop and support projects at the intersection of soft matter physics and food science. The Postdoc position is part of the Food technology group at the Department of Food
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to the engineering process, ensuring it is current and usable for informed decision-making in circular economy contexts. The research group studies how technology impacts organizations using mixed methods—both