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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 26-Feb-26 Location: Chapel Hill, North Carolina Categories: Academic/Faculty Computer/Information Sciences Internal
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responsibility of developing predictive tools based on machine learning for the analysis and interpretation of Raman vibrational spectra applied to battery materials. The successful candidate will design and
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these plants. The post-doc is expected to build upon existing in-house tools and, where applicable, enhance them by means of AI (machine learning) and data-driven methods. These models are aimed to support
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MRIs (available in HIE cases) and radiomic features predictive of school-age MRI extracted. Machine learning algorithms of radiomic features predictive of future brain development will be developed
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, development of custom software and machine learning techniques for advanced image-array data analysis. Achievement of the expected progression within Post Doc and Senior Post Doc is transferable between
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Computing Applications group in CSD has an immediate opening for a Postdoctoral Research Associate to design, develop, and deploy machine-learning and high-performance computing workflows, algorithms, and
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software and machine learning techniques for advanced image-array data analysis. Achievement of the expected progression within Post Doc and Senior Post Doc is transferable between the Irish HEI’s. This can
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Scholar Salary range: A reasonable salary range estimate for this position is $66,737 - $80,034 based on level experience. The posted UC academic salary scales (https://www.ucop.edu/academic-personnel
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/benefits-overview . Position Status Full Time Working Hours Standard Hours 37.50 Daily Work Shift Work Arrangement This position requires a fully on-site work arrangement. Union Description Post Docs
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Are you interested in developing machine learning algorithms that provably help us make better decisions? Join us as a post-doc in the Division of Data Science and AI, Department of Computer Science