2,014 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" "Univ" positions in Singapore
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on new initiative and emerging technologies. • Conduct or facilitate knowledge sharing. Qualifications • A degree in Computer Science, Computer Engineering, Information Technology or equivalent. • Relevant
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members and assessments. • Liaising with faculty members and communicate unambiguously to provide and/or exchange information accurately in all situations. • Provide administrative support to both
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a high-tech satellite ground station at the National University of Singapore. The Centre operates multiple dish antennas that track, receive and process data from remote sensing satellites orbiting
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-solving and critical thinking skills Detail-oriented and able to handle large volumes of data A team player who can work independently, self-starter and a willingness to learn We regret that only
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; meticulous and outcomes-driven. Comfortable working under pressure in a fast-paced environment. Proficient in Microsoft Office; experience with design tools and data analytics is an advantage. Apply now
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Health Services and Data Science (Project: Development of Natural Language Processing and Item response Theory based systems for Patient Reported Outcomes Measurement) Optimizing the performance of health
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The appointee will be required to: oversee the general management of the project provide administrative and other support to the project conduct systematic reviews conduct data entry and data analyses assist in
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collaborations. Performance Tracking & Strategic Reporting • Monitor, track, and evaluate engagement outcomes, providing data-driven insights and reports to CDE Management. • Identify opportunities
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-driven and team-player. - Proficient in administrative skills and in Microsoft Office applications (Outlook, Word, Excel,Power-point) and Adobe Acrobat (PDF). Data literacy, knowledge of SAP, technology
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for payment. • Attend monthly contractors’ meetings and assess contractors’ monthly performance. • Sourcing and collation of data in preparation for the annual budgeting of funds for repairs or improvement