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currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security. As our government customers adopt AI and machine learning to provide leap-ahead mission
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of Public Policy seeks applicants for a one-year Predoctoral Scholar - Machine Learning Data Scientist position. The ideal candidate will have core interests in education research. The successful candidate
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currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security. As our government customers adopt AI and machine learning to provide leap-ahead mission
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position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments. These methods will accelerate
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Machine Learning Software Engineer (Remote) *No Visa Sponsorship is available for this position. About the Cornell Lab of Ornithology The Cornell Lab of Ornithology is a tech-centered conservation
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Posting Information Posting Number FAE1908 Advertised Title Postdoctoral Fellow in Machine Learning and Computational Biology Campus Location Main Campus (Memphis, TN) Position Number 023825
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States of America [map ] Appl Deadline: (posted 2025/01/10, listed until 2025/07/10) Position Description: Position Description Multiphysics, Machine Learning, and Uncertainty Quantification Postdoctoral Positions Los
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Compensation $15 Limited Term End Date Position Summary Serves as the first contact for the department. Duties & Responsibilities Greets and directs prospective students and visitors; routes telephone calls; and schedules appointments. Coordinates daily activities of the front desk, which...
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the Sterne-Weiler Lab i n Computational Biology / Discovery Oncology and co-mentored by the Frey Lab in Prescient Design (Machine Learning for Drug Discovery). The postdoctoral position is focused
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be found online. Course Title: Artificial Intelligence & Machine Learning in Drug Development This course explores the use of AI and ML in pharmaceutical R&D. Topics include data preprocessing