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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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estimate for this position is $66,737.00 - $77,030.00. See Table https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-oct-2025-scales/t23.pdf Application Window Open date: July 24
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
Posting Information Posting Details Department School of Data Sci and Society - 397100 Posting Open Date 07/22/2025 Application Deadline 07/26/2025 Open Until Filled No Position Type Postdoctoral
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: We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected
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background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted
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period, beginning as soon as possible. For questions about this position, please contact Kevin C. Chan, Ph.D., Associate Professor of Ophthalmology at kevinchan@stanford.edu (link sends e-mail) . A brief
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extensibility. The ideal candidate for this position will possess: A strong background in scientific programing Interest in developing open-source data analysis and modeling tools in one of the following
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data sources such as UK Biobank and eventually come up with algorithm useable for the early detection of Alzheimer’s disease (AD) and Parkinson’s disease (PD). Nature of Work: In this project, we will
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balance, and your own experimental data. You will follow state-of-the-art open science principles throughout your research and publish your model code, results and scientific papers with an open access
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technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position. About us DTU Management conducts