978 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs in Singapore
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industry to enhance student learning, employability and programme relevance. The key responsibilities include (but not limited to): Overseas Immersion Programmes: Collate budget for each overseas course in
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research team as a Research Engineer. The successful candidate will support ongoing research initiatives by applying advanced machine learning, NLP, and large language models (LLMs) to develop next
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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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Management, and escalate unresolved at project team level. Requirements: Degree in Computer Science, Computer Engineering, or equivalent. Certified Project Manager, either CITPM or PMP certified, with at least
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Centre) and auxiliary services (car parks and shuttle bus services) in NTU main campus and NTU@one-north. The Nanyang Executive Centre (NEC) is located at the NTU Main Campus. Currently undergoing
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will support functional process improvement and streamlining to meet university mission and vision. Candidate has an opportunity to learn more than 1 system in billing and collection, involved in system
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, weekends, and public holidays. Skills and Abilities ⦁ Excellent guest service and problem-solving skills. ⦁ Basic computer proficiency and attention to detail. ⦁ Team player with positive attitude
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environment. 8. Open to Fixed Term Contract. More Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department : Electrical and Computer Engineering Employee Referral
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Job Description Apply now Job Title: Assistant Manager / Manager (Marketing & Admin) Posting Start Date: 05/03/2026 Job Description • Handle the leasing of the 150 vending machines on campus and
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and analyze large-scale multi-omics datasets (genomics, transcriptomics, epigenomics) to derive biological insights Apply statistical and machine learning models to identify cancer risk biomarkers