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colleagues at NYU Stern on all aspects of program operation. NYU Shanghai and NYU Stern currently offer 4 joint MS programs. The first two, in Data Analytics & Business Computing and in Quantitative Finance
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Description NYU Tulsa is seeking a local, part-time instructor for the Spring 2025 semester to teach Expressive Culture: Topics—Native Arts in Contemporary America sponsored by NYU’s College of Arts and Science
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to both deep learning and deep reinforcement learning, and have significant experience with PyTorch. Ideally the applicant will already have expertise in applying deep learning to computer vision or natural language
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and multimedia, machine learning and data science, natural language processing, scientific computing, and verification and programming languages. Collaborative research with industry is facilitated by
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local, part-time instructor to teach “Experiential Learning Seminar” for Spring 2025 (mid-January to mid-May). The course is co-sponsored by NYU’s College of Arts and Science and Gallatin School
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and the Quest for Economic Freedom in America” for Spring 2025 (mid-January to mid-May). The course is sponsored by NYU’s Gallatin School of Individualized Study. The course is taught in English, and
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Description Position Description NYU Tulsa is seeking a local, part-time instructor to teach “Bridging Divides: Navigating Polarization through Subnational Politics and Policymaking” for Spring 2025 (mid
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with Immigrant Youth” for Spring 2025 (mid-January to mid-May). The course is sponsored by NYU’s Silver School of Social Work. The course is taught in English, and there are 15 in-person instructional
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” for Spring 2025 (mid-January to mid-May). The course is sponsored by NYU’s College of Arts and Science and the Department of Sociology. The course is taught in English, and there are 15 in-person instructional
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Description Position Description NYU Tulsa is seeking a local, part-time instructor to teach “Advanced Seminar in Technology, Culture, and Society: Pathways to a Clean Energy Economy” for Spring 2025 (mid