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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
Posting Information Posting Details Department Envir Sciences and Engineering - 463001 Posting Open Date 07/21/2025 Application Deadline 08/31/2025 Open Until Filled No Position Type Postdoctoral
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
Posting Information Posting Details Department Envir Sciences and Engineering - 463001 Posting Open Date 07/21/2025 Application Deadline 08/31/2025 Open Until Filled No Position Type Postdoctoral
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data analysis/spectral image processing. Use of data analytics or machine learning to guide process design and optimization. Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long
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. Analyze large datasets from battery systems to improve model accuracy and performance. Conduct research on predictive analytics for real-time battery health monitoring and fault detection. Collaborate with
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approaches. The institute operates at the intersection of natural, and medical sciences and the humanities. Information on the institute can be found at www.globe.ku.dk . The research will be conducted
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to coordinate research activities and meet deadlines in a fast-paced research environment are essential together with strong analytical skills and the ability to interpret complex data. You will have excellent
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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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Qualifications Experience in electrophysiology and analytic methods for analyzing this type of data. Experience in computational neuroscience and modeling, as well as in the aging brain is desirable. FLSA Exempt
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collaborative. The Post-Doctoral Research Fellow works on funded research projects as part of a team with other subject matter experts, contributing to the development of a data-driven digital twin for fibers
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and attention to detail; Proven technical and analytical skills; Ability to troubleshoot an experiment as necessary. Proficiency with a computer; Knowledge of math and statistics, experience with PRISM