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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 25 days ago
position will include, but is not limited to, multimodal+embodied semantics, human-like language generation and Q&A/dialogue, and interpretable and generalizable deep learning. The duties of the postdoctoral
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processing, machine learning, statistics or related fields. Demonstrated expertise in ML/AI, with prior experience of applications in the healthcare domain, particularly in cancer research considered a strong
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about the Shih Lab: Learn more about the innovative work led by Dr. William Shih here: https://www.shih.hms.harvard.edu/ . What you’ll do: Develop DNA-based sensors that seed crisscross assembly of single
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of California, San Diego, in support of the campus, multidisciplinary Organized Research Units (ORUs) https://research.ucsd.edu/ORU/index.html is conducting an open search for Postdoctoral Scholars in various
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-quality educational programs, we are now seeking a postdoctoral researcher to work on the development of adaptive interventions to promote life-long learning. The position is full-time for three years, 1
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Posting Summary Logo Posting Number RTF00045PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Postdoctoral
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machine learning methods to model changes in the brain over the lifespan, including brain structure and function, and how those changes relate to environment and genomics. What We Offer As an employer, we
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efforts to the world. Connections working at Columbia University More Jobs from This Employer https://main.hercjobs.org/jobs/22085050/postdoctoral-research-scientist-on-artificial-intelligence-and-machine
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transportation systems and autonomous driving. • Strong understanding of generative AI, deep learning, and multimodal machine learning, with hands-on experience. • Excellent programming skills and proficiency with
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to study chromatin and gene regulation in mammalian cells and human disease systems. Current ongoing projects include: statistical modeling and advanced machine learning/AI method development for predicting