390 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nanyang Technological University
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, and assisting with programme reviews. Manage digital dissemination of course content; set up courses on the Learning Management System (LMS) and ensure all online learning materials are current and
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. Assist to enhance alumni and student engagement Assist in planning and coordination of entrepreneurship experiential learning projects Coordinate orientation and convocation, team bonding Facilitate events
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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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will be an advantage Knowledge of bioinformatic tools would be helpful Must be willing to learn and feel comfortable working with various bacteria (drug resistant K. pneumoniae, Staphylococcus aureus
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for the training of medical students and postgraduate research students. Teaching methods will include extensive use of team-based learning and e-learning. The appointee is expected to contribute to integration
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through: Student-led activities and leadership development initiatives. Residential hall programmes and integration efforts. Community engagement and overseas service-learning projects. Arts, sports, and
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to ensure thorough evaluation of programme processes. Requirements: Bachelor's degree with a minimum of 10 years of relevant work experience, within an institution of higher learning or operations in a
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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 candidates
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
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a Research Fellow to contribute to a project focused on focused on data-driven discovery of atomic catalysts. Key Responsibilities: Theoretical predictions using DFT and machine learning, and