354 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at National University of Singapore
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lessons learned and best practices. Technical Evaluation & Recommendation - Evaluate new and existing technology solutions, provide recommendations for adoption or enhancement, and support the
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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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to place greater emphasis on Continuing Education and Training (CET). As both the number and quality of our CET offerings rise, and as we explore ways to create greater opportunities for stackable learning
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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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) Computational thinking and parametric modelling The successful candidate is expected to teach one or more core courses, particularly in areas related to the above themes. The candidate should also be interested
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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
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positive work attitude and willingness to learn and adapt to changing operational requirements. Able to multi-task, meeting timelines and handle operational responsibilities efficiently. Proficient in PC
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, Excel) Familiarity with reference management software (e.g. EndNote, Zotero) and literature screening tools (e.g. COVIDENCE, Rayyan.ai) Interest in learning data visualisation tools (e.g. Power BI
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coordination and follow-through Open-minded with a strong desire to learn and grow Proficient in Microsoft Office (Word, Excel, PowerPoint) More Information Location: Kent Ridge Campus Organization: Yong Loo Lin
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contracting processes; surface issues and co-develop solutions. Community building and training Identify, appoint, and train Contract Liaisons across NUS Medicine units. Develop and deliver learning sessions