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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
, designing tools for data interpretation and visualization, and/or training foundation models and large language models (LLMs) for diverse biomedical applications. Dr. Li has published over 70 peer-reviewed
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
, designing tools for data interpretation and visualization, and/or training foundation models and large language models (LLMs) for diverse biomedical applications. Dr. Li has published over 70 peer-reviewed
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. This collaboration benefits from the growing availability of data, enabling large-scale, refined analyses that open access to historical insights previously out of reach. In line with the principles
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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on addressing fundamental and technical challenges in measurement-based quantum computing using continuous-variable cluster states with a three-dimensional entanglement structure. The successful candidate will
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project focused on systematically exploring the impact of the exposome on complex disease risk, through the lens of multi-omics data (e.g., genomics, proteomics, metabolomics and biochemistry) from large
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reactions, as well as nuclear data. The position is part of the nuclear physics team that resides in the Advanced Computing for Nuclear, Particle, and Astrophysics group at the National Center
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. Our research focuses on the established CRC/TRR 227 Ultrafast Spin Dynamics, the new CRC 1772 Heterostructures of Molecules & 2D Materials, and the new Cluster of Excellence for Chiral Electronics. We
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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
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. The position will require strong quantitative skills to analyze data from a large community-based cluster randomized trial of nutrition and psychosocial stimulation provision to caregivers and their young