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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
Chapel Hill seeks a talented, highly motivated postdoctoral researcher with a background in machine learning and/or biomedical image processing. The ACM Lab is developing software to support AI-driven
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scholar will work on combining density functional theory calculations and machine learning (ML) to model the life- cycle stability in beyond-lithium ion batteries. Job Related Minimum Required Education
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( VITA ) is looking for a postdoctoral researcher in the area of Generative AI. VITA research interests lie at the intersection of Computer Vision, Machine Learning (Deep Learning), and Human-Robot
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do this, the postdoctoral researcher will combine machine learning, molecular dynamics simulations and high performance computing (Isambard AI). Applicants must have a PhD in an appropriate area of
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York University Abu Dhabi, is seeking a highly motivated Post-Doctoral Associate to advance cutting-edge research in machine learning (ML). Our lab explores the intersection of artificial intelligence
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York University Abu Dhabi, is seeking a highly motivated Post-Doctoral Associate to advance cutting-edge research in machine learning (ML). Our lab explores the intersection of artificial intelligence
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York University Abu Dhabi, is seeking a highly motivated Post-Doctoral Associate to advance cutting-edge research in machine learning (ML). Our lab explores the intersection of artificial intelligence
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utilizing computational approaches including machine learning models, image analysis pipelines, and bioinformatics analyses; Designing and conducting experiments integrating microscopy, transcriptomics, and
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project include (but are not limited to): Develop machine learning algorithms that utilize fire products from geostationary satellites to better represent fire evolution and variability Develop machine
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analysis, algorithm development, and simulation studies in the area of machine learning for wireless communications. Develop and implement machine learning techniques for communication systems, with a