104 phd-in-computer-vision-and-machine-learning Postdoctoral positions in United States
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physics, and ultrafast lasers. Knowledge of scientific programming language(s) and computer simulation. Salary: Compensation will be commensurate based on the selected hire’s education and experience
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world. To learn more about Georgia Southern's Vision, Mission and Values please click here: https://president.georgiasouthern.edu/performance-excellence/mission-values/ Location Statesboro Campus - Statesboro, GA
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robust professional development opportunities, and a competitive benefits package designed to support your career and well-being. Learn about NREL’s critical objectives: NREL's Mission and Vision . Job
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
professionalism, enhance learning, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our
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the opportunity to experience the full spectrum of advantages from comprehensive medical, prescription, dental, and vision insurance to an enticing retirement savings program offering a generous
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Requirements Applicants should have (or expect to receive before the start of the position) a PhD in Computer Science or EE/ECE on a topic in machine learning applied to natural language processing, computer
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well as artificial intelligence and machine learning techniques (AI/ML) with emphasis on electronic properties (charge and spin) of a range of materials important to the DOE mission, including the materials classes
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world. To learn more about Georgia Southern's Vision, Mission and Values please click here: https://president.georgiasouthern.edu/performance-excellence/mission-values/ Location Statesboro Campus - Statesboro, GA
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) at Oak Ridge National Laboratory (ORNL). This project will be focusing on the development of advanced Artificial Intelligence (AI)/Machine Learning (ML) tools for the measurements of 3D tensorial strain in
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, lithography) and synchrotron-based X-ray techniques. Other supporting characterization may be necessary, and the candidate will be expected to learn and perform the required techniques. The materials