951 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "FEUP" positions at National University of Singapore
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resolution, etc. • Computer Account Management - manage visitor user accounts, manage IT security and policy compliance. 3. Ensure annual Business Continuous (BC) Plan are properly executed, documented
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. • Prior experience in global engagement or international work would be an advantage but is not essential. More Information Location: Kent Ridge Campus Organization: Global Relations Office Department
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courses or programmes, and communicate effectively with students and faculty. Provide support to the organization and operationalization of examinations assigned. Assist in compiling data for relevant
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. Support human-centered behavioral, social, and digital health research through qualitative and quantitative data collection, including interviews, surveys, experiments, and participant engagement. 2
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. Good command of written and spoken English language. More Information Location: Kent Ridge Campus Organization: Office of the Deputy President(Res&Tech) Department : Office of the Deputy President(Res
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information pertaining to career opportunities and staff profiles (including arranging photography service and scheduling staff timeslots for photoshoot). • As cover for admin in-charge of department social
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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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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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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