351 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" positions at New York University
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the area of mathematical foundations of generative AI and applications in finance. The successful candidate will have a demonstrated background in stochastic analysis and machine learning theory as
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aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/nyugreen. NYU is an Equal Opportunity Employer and is committed to a policy of equal
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scholarly independence. Candidates with strong backgrounds in Operations Research, Machine Learning, Data Science, Computer Science, Economics, or related fields are encouraged to apply. In compliance with
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after one year of employment. Details and further information regarding benefits can be found here: http://www.nyu.edu/employees/benefit/full-time/Professional-Research-Staff-Code-103.html . The position
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, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 27-Jan-26 Location: Abu Dhabi, UAE Categories: Academic/Faculty Internal Number: 180593 The Deep Learning laboratory
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Junior Research Scientist in the Center for Quantum and Topological Systems (CQTS) – Dr. Hisham Sati
teaching tutorials/recitations as the need arises. Applicants must have a Bachelors in one of the following: Computer Science, Computer/Electrical/Communication Engineering, Mathematics, Physics
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analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical
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). Responsibilities Teach two undergraduate courses in politics each semester (Fall and Spring) Engage in 1 on 1 and group activities supporting students’ academic achievement at NYU London (Year-round) Assist with
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and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive