2,013 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" "IFM" "IFM" positions in Singapore
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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for academic and administrative functions to ensure seamless operations. Process all finance-related claims for UG and PG units, Reporting & Data Management Prepare and maintain accurate faculty records
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Employee Category: Research Staff Location_ONB: Outram Campus Posting Start Date: 12/02/2026 Job Description The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS
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administrative support, and undertake project management responsibilities to ensure the timely and high-quality delivery of project outputs. Key responsibilities: Conduct literature reviews, data collection and
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Affairs (OLA). The role is designed to support legal operations by managing data, reporting, and streamlining processes. The Executive will engage in data management and visualizations, coordinating with
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operational support to University level committees formed for the appointment, reappointment, promotion & tenure of Faculty members. Compile and provide timely, organised and accurate dossier information
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. Passion and aptitude for student development and sports excellence. Organized with strong administrative skills. More Information Location: Kent Ridge Campus Organization: Office of Student Affairs
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management with external agencies such as the Police. Coordination with Office of Human Resources, Office of Legal Affairs, and Office of Internal Audit for requests for information from regulators and law
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respond to registration/logistics queries. PSS: Manage this two-way channel—disseminate event and volunteer information to Peer Supporters, and serve as the first point of contact for their enquiries and
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phases are as follows: Phase 1 – Literature reviews and research writing. Phase 2 – Survey and experiment design, and IRB applications. Phase 3 – Data collection and pre-processing. Phase 4 – Data analysis