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, machine learning, and statistical modeling methods for multimodal manufacturing datasets, including sensor streams, in-process signals, post-process characterization data, simulation outputs, and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Title Post-Doc Research Associate Vacancy ID PDS004892 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range
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Manufacturing and Machine Industry theme of the Aalto House of AI , led by Professor Ville Kyrki. The theme brings together robotics, machine learning, and electrical and mechanical engineering to work on
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discovery. Experience with developing machine-learning surrogates for structure-property relationship, generative AI models, material representations, machine learning force-fields (especially
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Skip to Main Content Post Doc Res Assoc Bookmark this Posting Print Preview | Apply for this Job Please see Special Instructions for more details. If you are interested in the position, please
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
Posting Information Posting Details Department Mathematics - 318900 Posting Open Date 06/14/2022 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title Post-Doc
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Science, Environmental Science, Remote Sensing, or related field Experience in atmospheric modeling, satellite remote sensing, or machine learning Programming skills (Python or R) Strong publication
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Skip to Main Content Post Doc Res Assoc Bookmark this Posting Print Preview | Apply for this Job Announcement Details Open Date 08/19/2026 Requisition Number PRN45957B Job Title Post Doc Res Assoc
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Artificial Intelligence, Scientific Machine Learning, and Energy Materials, contributing to the design of self-driving laboratories and no-code autonomous workflows. with a primary focus on Artificial
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well as general research involving the application of methods from theoretical physics, mathematics, and machine learning with the goal to understand the brain function. Position Requirements Applicants