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Field
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
materials research group led by Dr. Mengen Wang is seeking a postdoc researcher to work on computational materials and machine learning-driven materials discovery. The postdoc researcher will perform DFT and
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. Develop advanced optimization, control, or machine learning strategies for distribution systems; validate these strategies using hardware-in-the-loop or real-time grid simulators. Develop optimization
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: Artificial Intelligence / Machine Learning Knowledge Representation and NLP methods Clinical Informatics Bioinformatics Biomedical Ontology Public Health Informatics Nursing Informatics Imaging Informatics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
professionals and biomedical researchers from all backgrounds by facilitating learning within innovative and integrated curricula and team-oriented interprofessional education to ensure a highly skilled workforce
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optimizing the squeezing of the vacuum to minimize quantum noise, a prototype cryogenic interferometer, using machine learning for nonlinear feedback control, devising techniques to quell opto-mechanical
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-of-the-art data management, machine learning and statistics techniques. With the advancement of Exascale systems and the variety of novel AI hardware designed to accelerate both training and inference
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models and machine learning. Minimum Qualifications MD or Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications Experience in epigenetics or gene
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/or interest in applying Social Network Metrics to language and cognitive outcomes. -Have experience and/or interest to acquire expertise in machine learning applied to language modeling. Special
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opportunities for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining our team and exhibiting your passion and pride in your work as part of our
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experience. Research background in decision making systems, in particular the use of different optimization, machine learning, and decision making modeling techniques for problem solving. Desire to grow