1,395 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions in Singapore
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an emphasis on technology, data science and the humanities. The LKCMedicine BSL‑3 Facility is a research‑focused biocontainment unit at the Experimental Medicine Building (EMB), NTU. The facility supports
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analytical skills with attention to detail, particularly for validating space and technical data. Good stakeholder engagement, communication, and problem-solving skills. Good analytical, budgeting, and
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related matters Provide robust support for course instructors to ensure smooth lesson delivery Monitor market trends and undertake active collation of statistics and data such as student feedback required
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biomedical laboratory work; assist with experimental workflows as required Qualifications Diploma in Biotechnology, Biomedical Science, or a related field Basic computer proficiency (email, Microsoft Office
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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information and track interest levels from potential trainees. 3. Placement & Workshop Support • Manage registration for placement-related workshops, activities, and Care & Career programmes. • Maintain
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responsibly. Commitment to full-time, on-campus work at NUS Business School. Preferred Qualifications Prior research experience in accounting or finance projects. Familiar with text or image data processing
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/Requirements Qualifications / Discipline: - PhD’s degree in Physics, Materials Science, Computer Science, Data Science, Artificial Intelligence, or a related discipline from a strong institution. Skills
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an emphasis on technology, data science and the humanities. The Senior Executive, Curriculum will work closely with the School Leads, different teams within the department and the various education offices in
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experience with management and strategy research, economic modelling and statistical analyses are essential. Familiarity with data mining, machine learning and computation techniques, especially in the context