1,468 machine-learning-"https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" positions in Singapore
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, Effects, and Criticality Analysis (FMECA), functional FMECA, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault
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students, it offers a friendly and international work environment Learn more about CQT at https://www.cqt.sg/ Job Description We are looking for a talented and motivated Research Assistant to join our
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policy development. CBmE, directed by Prof Julian Savulescu, is a thriving centre for learning, teaching and research relating to ethical and legal aspects of healthcare and biomedical sciences. We
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of the instructor, class size and market factors. For more information on the School and course offerings, please visit https://business.smu.edu.sg . If you are interested in an adjunct position, please send your CV
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We are looking for part-time Finance lecturers to teach within the College of Business, Nanyang Business School. Classes are mainly conducted on weekdays; or on Saturdays for make-up classes
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students, it offers a friendly and international work environment Learn more about CQT at https://www.cqt.sg/ Job Description The candidate will work on analytical aspects of quantum information theory, e.g
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of servers and assistance in network setup in a testbed building. Data collection from BMS and thermal and occupancy sensors, and machine learning based analysis. Daily system maintenance for the servers and
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) invites applications for part-time instructors with a track record in excellent teaching at the tertiary level to teach Big Questions: Wealth and Poverty. The course explores the manifold forms of wealth
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Research Fellow / Associate Research Fellow / Senior Analyst / Research Analyst (Military Studies Programme) The S. Rajaratnam School of International Studies (RSIS), a Graduate School of Nanyang
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international collaborators across clinical, academic, and industry settings to develop privacy-preserving machine learning approaches, federated learning frameworks, and interpretable algorithms for multimodal