2,048 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" positions in Singapore
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decision-making, drug discovery, climate change, and biomedical discovery. This successful candidate will be based at the Centre for Biomedical Data Science (CBDS), which will come into effect from January
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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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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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sector, assist in collection and consolidate necessary data, and participate in the development of a carbon calculator. Desktop research based on primary and secondary sources. Besides information
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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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coordinate Programme Office Meetings and OfR events including strategic retreats, townhalls and outreach to Academic Departments. Synthesise ideas and information into clear, accurate and persuasive prose and
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the willingness to learn and grow Inquirer, critical thinker Ability to work independently and collaboratively Organized, reliable, patient, and with strong initiative Responsibilities: Conduct data collection and
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activities and/or the management and analysis of complex research data. These positions offer the opportunity to work in a collaborative academic research environment at the intersection of public health
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Management Coordinate participant recruitment activities. Manage scheduling, consent documentation, and communication with older adults and their caregivers. Data Collection and Management Conduct and support
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, interpret and make meaning of the data collected. The RF/RA’s principal role will be to support the project through their Epidemiology/Biostatistics expertise, data analysis, scientific writing. In a lean