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of enabling large-scale redox flow battery deployment for energy storage. Scope of Work The successful candidate will work on: Designing and optimizing extraction processes for vanadium from primary and
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emulation software for FPGA-based electronics. • Experience contributing to data taking of large experiments. Additional Information: Application Instructions Applications should include: • A curriculum
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
diversity and brings together expertise in software engineering, big data, clinical informatics, and medicine. Key Responsibilities Collaborate with researchers to design, develop, and refine large language
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The Institute for Atmospheric and Earth System Research (INAR) is a large multidisciplinary research unit based in physics, chemistry, meteorology, forest sciences, environmental sciences and social
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Lightweight and flexible solar cells Space deployable structures Device analysis in space environments Big data, AI, and machine learning for space solar initiatives Outstanding Postdoctoral Training Strategy
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Bloomington Position Summary The Department of Biology is a large, unified department with strong undergraduate degrees, nationally-ranked graduate programs, and world-class research spanning the breadth
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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Sheets. Experience with data cleaning, management, and quantitative analysis using R. Experience in computational text analysis, using machine learning and/or large language models (e.g., ChatGPT
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
, designing tools for data interpretation and visualization, and/or training foundation models and large language models (LLMs) for diverse biomedical applications. Dr. Li has published over 70 peer-reviewed
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scientific journals and conferences Your Profile: A doctoral degree in Physics, Materials Science, Computer Science, Data Science, or related fields Proven experience with large language models (LLMs), natural