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Postdoctoral Researcher to join our team in building next-generation Foundation Models for Science at NYU Courant and the Center for Data Science (CDS). You will join a team composed of domain scientists
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learning (AI/ML) being a major focus. Many of the laboratory's interests center around the identification of small molecules using mass spectrometry data, and the use of language models to predict
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
Number: 280639 Vacancy ID: PDS004212 Position Summary/Description: The Haar lab in the department of Chemical Biology & Medicinal Chemistry at UNC-Chapel Hill is a multi-disciplinary research group looking
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learning (AI/ML) being a major focus. Many of the laboratory's interests center around the identification of small molecules using mass spectrometry data, and the use of language models to predict
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is designed as .75 FTE related to clinical service delivery at the East Carolina Heart Institute for psychological care of cardiac patients. The clinical service is multi-disciplinary and completely
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supported by our college-level instructional design team for course development and delivery and by our research core for grant development and submission. Dr. Jinling Liu’s laboratory (https
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
the NIH-funded Emory-Sage-SGC-Jax TREAT-AD Center. This multi-institutional initiative is focused on accelerating the discovery of new therapeutic targets and strategies for Alzheimer’s disease by
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articles, and Extension publications. For EPA PFAS and the USDA NACA PFAS Center of Excellence, the selected candidate will co-lead, along with a faculty member, a research project modeling and monitoring
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, tuition assistance, retirement, etc. A knowledge-sharing organization that works collaboratively with diverse partners. Professional development opportunity and mentorship. A rapidly growing center within
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. The project will involve development of novel parallel algorithms to facilitate in-situ analyses at-scale for multi-million and multi-billion atom simulations. In this role, you can expect to work on enhancing