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Position overview Position title: Applied Mathematics Pre-six Lecturer Salary range: A reasonable estimate for an appointment to teach a standard five-credit course is $9,986-$20,908 (based on salary
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Position overview Position title: Applied Mathematics Pre-six Lecturer Salary range: A reasonable estimate for an appointment to teach a standard five-credit course is $9,986-$20,908 (based on salary
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description The Department of Applied Mathematics at the University of California, Santa Cruz (UCSC) invites applications for an ongoing pool of assistant adjunct professors, associate adjunct professors, and
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description The Department of Applied Mathematics at the University of California, Santa Cruz (UCSC) invites applications for an ongoing pool of assistant adjunct professors, associate adjunct professors, and
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University of California, San Diego | Estancia de San Diego, Guanajuato | Mexico | about 2 months ago
Artificial Intelligence and Machine Learning as represented within HDSI's research scope, including but not limited to: 1) Computer Vision 2) AI for Science 3) Emerging Technologies for AI (such as Quantum
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from ALL areas of Artificial Intelligence and Machine Learning as represented within HDSI's research scope, including but not limited to: 1) Computer Vision 2) AI for Science 3) Emerging Technologies
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Assistant Professor/Associate Professor/Senior Associate Professor/ Professor in Applied Mathematics
computing, control theory and optimization, operational research, machine learning, probability, and related applications. The Department delivers courses for three four-year undergraduate mathematics
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Associate Dean for Learning and Teaching Employer XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU) Location Suzhou, China Closing date 26 Sep 2026 View more categories View less categories Job Type Senior
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............................................................................................................................. 10 points Artificial intelligence and machine learning applied to scientific and
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principles and machine learning theory to tackle key challenges in quantum information, atomic-molecular-optical physics, condensed-matter systems, and high-energy physics. (2) Quantum for AI: building next