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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 20 days ago
simulations. This role will support innovative research at the intersection of Artificial Intelligence, Computational Biophysics and Chemistry, and Drug Discovery. The successful candidate will contribute
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Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a closely related field. Strong publication record in relevant top-tier venues (e.g., NeurIPS, ACL, ICML, ICLR, AIED, LAK
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Infrastructure? No Offer Description Role Description Artificial intelligence (AI) and quantum technologies are among the most transformative areas of frontier research and development in science and engineering
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starting July 2025, and will remain open until excellent fits are found. The successful candidate will develop and apply computational approaches to chemical datasets, with artificial intelligence/machine
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observation (EO) and explainable artificial intelligence (xAI) for decision intelligence. In an era of rapidly evolving geopolitical dynamics and increasing complexity in the security landscape, the ability
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of Pharmacy, UCC, led by the Professor of Pharmaceutics, Brendan Griffin is aiming to develop Artificial Intelligence (AI) and machine learning tools that can accelerate the creation of medicines for conditions
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of the eLegislation using Artificial Intelligence for the Legislative Making-process”. The project examines with the analytical methodology of constitutional law parliamentary law and legal informatics, how AI is
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intelligence (AI). The successful candidate will join Prof. Francesco Restuccia’s research team (website: https://mentis.info) in Boston, Massachusetts, and work on cutting-edge topics in resilient AI, including
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restricted party screening procedures for applicants. Artificial Intelligence (AI) tools may be used in some portions of the candidate review process for this position; however, all employment decisions will
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in computational methods, particularly those with backgrounds in machine learning, artificial intelligence (AI), statistics, bioinformatics, or analysis-acceleration technologies. Candidates should