961 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "Univ" positions at National University of Singapore
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National University of Singapore, Department of Statistics & Data Science Position ID: 3020-FACULTY [#26787] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Singapore
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sleep deprivation on cognition using electroencephalography (EEG) techniques, wearable devices and smartphones as well as questionnaires and computer-based behavioral tests. The Tech Support Specialist
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sleep deprivation on cognition using electroencephalography (EEG) techniques, wearable devices and smartphones as well as questionnaires and computer-based behavioral tests. The Tech Support Specialist
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information collection. Coordinate procurement and logistics for exam delivery; ensure audit-ready records and timely payments/honoraria. Forecast yearly assessment expenses based on trends and supplier
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, hepatologists, and data scientists. The candidate should demonstrate technical experimental excellence as well as the capacity to lead the research team regarding research projects aimed at producing clinically
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data handling standards across all projects. Qualifications Degree in Education, Computer Science, Learning Sciences, Instructional Design, or a related discipline – a Master’s degree will be
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Governance, Process Innovation & AI Adoption Design and govern AIDF’s digital transformation roadmap, including AI-enabled workflow automation, data and reporting capabilities. Set up transformation governance
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in using laboratory equipment and skill in analysis experimental data. • Ability to work independently and as part of a multi-disciplinary team. More Information Location: Kent Ridge Campus
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to resolve issues, and able to work under pressure. Pleasant disposition with customer centric mindset to communicate with multiple categories of stakeholders. Able to articulate well to convey information
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operational modelling and simulation, pricing & cost control to contribute to growth of the team resources. The ideal candidate is highly organized and proficient in using current data and machine learning