320 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at National University of Singapore
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Business Assistant Manager/Senior Executive/Executive (Manager (Lifelong Learning Programmes), SCALE
Job Description Apply now Job Title: Business Assistant Manager/Senior Executive/Executive (Manager (Lifelong Learning Programmes), SCALE Posting Start Date: 19/01/2026 Job Description The School
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Job Description Apply now Job Title: Executive (Centre for Teaching, Learning & Technology) Posting Start Date: 12/02/2026 Job Description The Centre for Teaching, Learning and Technology (CTLT
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Job Description Apply now Job Title: Business Development Manager (Lifelong Learning Programmes), SCALE Posting Start Date: 19/01/2026 Job Description The School of Continuing and Lifelong Education
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Job Description Job Alerts Link Apply now Job Title: Temporary Programme Operations Assistant, Lifelong Learning Programme Posting Start Date: 31/10/2025 Job Description: Job Description The School
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Job Description Apply now Job Title: Manager (Centre for Teaching, Learning and Technology) Posting Start Date: 14/11/2025 Duties and Responsibilities The successful candidate will be expected
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future business leaders. And we are looking to add to our BIZ family! To learn more about the NUS Business School, please visit https://bschool.nus.edu.sg/ Duties and Responsibilities Student Council and
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positive environment to grow and groom future business leaders. And we are looking to add to our BIZ family! To learn more about the NUS Business School, please visit https://bschool.nus.edu.sg/ Job
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2022. We invite you to explore https://cde.nus.edu.sg/ece/ to learn more about us and see how you could become a part of our vibrant and diverse community. More Information Location: Kent Ridge Campus
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of collaborators spanning CERM, NUS, Imperial College London, Ashoka University, the Communicable Diseases Agency Singapore (CDA), the National Environment Agency Singapore (NEA), the Machine Learning & Global
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activities under the supervision of the Principal Investigator. Implement analysis pipelines and machine learning algorithms to analyse high-throughput genomic data, biobank data, and clinical data. Write high