858 machine-learning-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions in Singapore
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willingness to learn new techniques and software. Someone who takes ownership of safety and operational excellence, and enjoys supporting teaching and research. More Information Location: Kent Ridge Campus
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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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of Singapore that supports object-based learning, interdisciplinary research, and curatorial inquiry. Its collections span Asian art, Southeast Asian material culture, and modern and contemporary practices
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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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Applicants are expected to hold at least a Second Class Honours (Upper Division) or an equivalent honours degree, or a Master’s degree in the Social Sciences. Competencies Willingness to learn about and work
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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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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an exciting place to learn and
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Chinese dialects used in Singapore (e.g. Hokkien, Cantonese, Teochew or Hainanese); Malay or Tamil. Willingness to learn about and work with researchers using mixed methods; prior experience of working with