38 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at Singapore Management University in Singapore
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Adjunct Lecturer, MBA MGMT655 Machine Learning for Decision Making, 2026 March Term - (2600000Q) Description A premier university in Asia, the Singapore Management University (SMU) is
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education is known for its highly interactive, collaborative, and project-based approach to learning. Home to over 13,000 students across undergraduate, postgraduate professional and postgraduate research
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Strategy & Entrepreneurship group can be found at https://business.smu.edu.sg/business/disciplines/strategy-and-entrepreneurship/welcome General information about SMU can be found at www.smu.edu.sg
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short-listed candidates will be notified. At SMU, we celebrate diversity and are committed to creating an inclusive environment for all employees. Please visit: https://cis.smu.edu.sg for more
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adaptation; reinforcement learning and inverse reinforcement learning. o Machine Learning & Intelligence, including machine learning and adaptation; deep learning; computer vision; machine intelligence
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Finance group at SMU Lee Kong Chian School of Business, visit https://business.smu.edu.sg/business/disciplines/finance/welcome . For information about Singapore, visit https://www.edb.gov.sg/en/why
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letters if the applicant is shortlisted. Further information about the University and the School can be found at https://socsc.smu.edu.sg/ For queries, please email the Dean's Office directly
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) (Data & Analytics) and the PhD in Accounting – as well as coveted thought leadership and broad collaboration with businesses and society. Please visit https://accountancy.smu.edu.sg/ for more information
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applications should be submitted through our online portal: https://smucareers.taleo.net/careersection/smu_ext_ft/jobdetail.ftl?job=250000C4&tz=GMT+08:00&tzname=Asia/Singapore Please include the following
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Strategy & Entrepreneurship area at: https://business.smu.edu.sg/business/disciplines/strategy-and-entrepreneurship/welcome APPLICATION PROCEDURES All applications should be submitted using the following