367 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at National University of Singapore
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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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on new initiative and emerging technologies. • Conduct or facilitate knowledge sharing. Qualifications • A degree in Computer Science, Computer Engineering, Information Technology or equivalent. • Relevant
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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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invites you to join our team At NUS-ISS, we don’t just teach AI, we help organizations adopt it responsibly and effectively. You will be part of a vibrant community of educators, innovators, and industry
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of Lecturer / Senior Lecturer and teach inter-disciplinary courses in the College, in the areas of innovation & entreprenurship, digital literacy / AI, and / or systems thinking. Each inter-disciplinary course
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Manager will be an integral member of the Undergraduate Studies Office, overseeing the operational delivery of Student Exchange Programmes (SEP) and other overseas learning initiatives in response
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stream of research funding. Ability to teach public health courses at various levels (undergraduate, graduate and lifelong learners). Ability to work within multidisciplinary teams. Ability to work with
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resolution, etc. • Computer Account Management - manage visitor user accounts, manage IT security and policy compliance. 3. Ensure annual Business Continuous (BC) Plan are properly executed, documented
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and accreditation. Through this work, the team helps revolutionize teaching and learning, and strengthen strategic and operational processes within the education mission at Duke-NUS. The Manager will
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academy partners. NUS-ISS is seeking a seasoned Senior Instructional Designer to craft and deliver innovative learning programmes in high-demand fields such as AI, Data Engineering, and Product Management