371 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" uni jobs at National University of Singapore
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requirements. Strong leadership skills with excellent people skills. A good team player who is passionate, proactive, meticulous and responsible with a willingness to learn. Ability to think out of the box with
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impactful for learners. Work closely with clinician faculty to improve pedagogy and curriculum development. Perform curriculum review, including the development of new learning materials and other educational
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disposition. Strong interpersonal communications (written and verbal) and service skills. Proficiency in Microsoft Office Suite and adaptability to learn and work with various university-specific data systems
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programming languages. Experience with CI/CD tools, containerization (Docker), and version control (Git). Problem-solver mindset — you enjoy building, debugging, and scaling complex systems. A strong learning
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& responsibilities as assigned by SP Qualifications MSc or PhD, preferably in Computer Sciences, Bioinformatics, or Life Sciences, or related field of study. Candidates with equivalent experience may also apply Able
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support covering academic matters, immersive learning, and career-related initiatives. • Analyse student data and feedback to support continuous programme improvement and inform management decisions
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of the programme in accordance with the policies of the College and the University. The successful candidate is also expected to teach core, elective and/or studio courses in accordance with the expected teaching
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for SAF workforce, including but not limited to learning management system, courses and knowledge repository. • Plan and maintain a knowledge repository, including but not limited to common AI use cases
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technical learning assets (e.g., explanations, labs, assessments, solutions). Proven experience in developing and maintaining learning content at scale (courseware, labs, assessments, question banks
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governance policies. Help maintain records such as the Data Steward/Manager list and promote good data practices. Continuous Learning and Professional Development Stay current with emerging data technologies