833 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions in Singapore
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, marketing of academic programmes. Strong computer skills and comfort level with databases, research, social media, web pages, spreadsheets and presentations would be an advantage. Excellent interpersonal
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and AI/ML technologies, will be an advantage. Experience in data analytics and managing AI-related products is an added advantage. Proficiency in Python and machine learning frameworks such as PyTorch
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. The candidate will reach out to students, work with faculty and other internal teams as well as external partners to conceptualise and carry out programmes that bring about impactful learning outcomes. The role
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and course materials. Evaluate module assessment components. Teach up to 240 contact hours per academic year. Qualifications A Bachelor’s or Masters’ degree in a relevant discipline. Candidates must
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and course materials. Evaluate module assessment components. Teach up to 240 contact hours per academic year Qualifications A Bachelor’s or Masters’ degree in a relevant discipline. Candidates must have
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of being An Institute of Distinction: Leading the Future of Education, and our mission to Inspire Learning, Transform Teaching and Advance Research. Read more about NIE here . NIE invites suitable
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The Division of Banking and Finance at Nanyang Business School, Nanyang Technological University, is seeking part-time lecturers to teach undergraduate courses in applied mathematics for business
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Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new
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and positive learning experience for our Graduate Programme students by: Handling full spectrum of programme applications, from submission through assessment (including interviews & tests), offer
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tools (e.g. Power BI, Tableau or Qlik Sense) Experience in applying machine learning techniques and designing algorithms that are scalable and production-grade. Knowledge of database, ETL and data API