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from start to finish. Required Education: Master's Degree or equivalent Preferred Education: Master's Degree in a Quantitative degree (Engineering, Mathematics, Statistics, Computer Science
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Required Education: Master's Degree or equivalent combination of education and experience. Preferred Education: Master's Degree in Computer Science, Information Systems, Statistics, Mathematics, Economics
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for one year initially, with the possibility of renewal for up to 3 years, based on performance and availability of funding. Completion of a PhD in physics, mathematics, computer science, engineering
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Education: Bachelor's Degree Preferred Education: Master's Degree or Doctoral degree in Computer Science, Information Systems, Statistics, Mathematics, Economics, Psychology, Sociology, Education, Business
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Education: Master's Degree or Doctoral degree in Computer Science, Information Systems, Statistics, Mathematics, Economics, Psychology, Sociology, Education, Business, or a related field. Required Experience
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Visiting Faculty in Computer Science Fall 2024 New York University: NYU - NY: Courant Institute of Mathematical Sciences: Computer Science - NYU Courant Institute Location New York, NY Open Date Dec
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, Statistics, Mathematics, Economics, Psychology, Sociology, Education, Business, or a related field or Doctoral Degree in Computer Science, Information Systems, Statistics, Mathematics, Economics, Psychology
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2024 - 2025 Open Rank Clinical Professor (non tenure-track); Technology, Operations and Statistics (Statistics Group) New York University: NYU - NY: Leonard N. Stern School of Business: Department of Technology, Operations, and Statistics Location New York, NY Open Date Mar 04, 2024 Deadline Apr...
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ADJUNCT FACULTY (Part-time) COMPUTER SCIENCE 02-2024 New York University: NYU - NY: Courant Institute of Mathematical Sciences: Computer Science - NYU Courant Institute Location New York, NY Open
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founded center, supported by an external sponsored grant. It is dedicated to interdisciplinary research in the field of artificial intelligence and deep learning, and fully explores the mathematical