363 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" uni jobs at National University of Singapore
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conferencing and collaborative tools, and video and photo editing skills, is a plus. - Skills in database management, or ability to learn these skills quickly and effectively. - Excellent team player, motivated
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, clinical reasoning, and Team-Based Learning (TBL) facilitation in Phase I. The faculty member will also contribute to curriculum development through participation in curriculum mapping, review processes, and
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⦁ Deliver day-to-day technology and audio-visual support for a high-quality teaching and learning experience. ⦁ Deploy and support hybrid teaching technology (eg. Zoom) supporting either fully virtual
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relations & lifelong learning community Strengthen alumni engagement to support growth (referrals, ambassadors, speakers/mentors, alumni communications and events). Develop pathways that encourage repeat
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to perform the following responsibilities: • Advance NUS Libraries’ Special Collections by improving discovery, access and use of rare and archival materials to support teaching, learning and research
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tools (e.g. Power BI, Tableau or Qlik Sense) Experience in applying machine learning techniques and designing algorithms that are scalable and production-grade. Knowledge of database, ETL and data API
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Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new
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and AI/ML technologies, will be an advantage. Experience in data analytics and managing AI-related products is an added advantage. Proficiency in Python and machine learning frameworks such as PyTorch
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the educational mission of the Department of Biomedical Engineering (BME), specifically in the areas of graduate studies (lifelong learning programmes and graduate research programmes) as well as certain areas
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Organization: College of Design and Engineering Department : Electrical and Computer Engineering Employee Referral Eligible: Job requisition ID : 31376 Apply now