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Field
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Master’s degree in educational technology, Computer Science, Data Science, Artificial Intelligence, Instructional Design, or a related field. A strong foundation in both AI/Machine Learning and education
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Master’s degree in educational technology, Computer Science, Data Science, Artificial Intelligence, Instructional Design, or a related field. A strong foundation in both AI/Machine Learning and education
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Description Primary Duties & Responsibilities: Designs, develops, and implements: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical
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writing C++ and PyTorch. Training and debugging RL agents. Imitation Learning algorithms for robotics or autonomous vehicles. Prior work combining RL with human data or feedback. A track record of code
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Job Description Required Qualifications: (as evidenced by an attached resume) Ph.D. (or foreign equivalent) in Electrical Engineering, Computer Science, Applied Mathematics, or a closely related field
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& Responsibilities: Designs, develops, and implements: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.] Data management and analysis
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) Ph.D. (or foreign equivalent) in Electrical Engineering, Computer Science, Applied Mathematics, or a closely
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instructors posting on the university careers website. Application materials should be addressed to the faculty noted on the job description or to the chair of the program that you are applying to in cases
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instructors posting on the university careers website. Application materials should be addressed to the faculty noted on the job description or to the chair of the program that you are applying to in cases
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
of the most diverse health databases in history. Nutrition for Precision Health, powered by the All of Us Research Program is a new initiative to develop algorithms that predict individual responses to food and