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effective connectivity Create personalized 'digital twins' of patient brains to identify recruitable language function and viable neuroprosthesis targets Computational Modeling & Machine Learning
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Department of Biomedical Informatics and Medical Education has a Postdoctoral Scholar position open with a focus in machine learning. The postdoctoral scholar will work on topics of mutual interest such as
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, multiple machine‑learning algorithms, MOFA and multi‑omics pathway analysis. · Strong background in experimental design, quantitative data analysis, and scientific writing, evidenced by first-author
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Intelligence and Computer Vision Laboratory Website: https://uark-aicv.github.io/# Summary of Job Duties: The Post Doctoral Fellow will be part of several research projects at the intersection of machine
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About the Opportunity Conduct research on machine learning, control theory, and synthetic biology. The work will combine tools from dynamical systems, control theory, and the theory of algorithms and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 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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( 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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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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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