937 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at National University of Singapore
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intelligence, neuroimaging, data science, and public health to advance early detection and prevention of cognitive decline and ageing-related brain disorders. The research team works closely with local and
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are updated with required documents, notes, and case file numbers Qualifications Degree holder good with computer skills and ability to design EDMs Prior working experience in data entry preferred Competent in
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(spoken and written) across all levels. Proficient in Microsoft Office. Meticulous, proactive and resourceful. Tact and discretion in handling confidential information. More Information Location: Kent Ridge
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+ intervention studies Supervise the collection and maintenance of clinical trial documentation, including data records, case report forms, and equipment maintenance logs Ensure compliance with clinical inventory
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, marketing or consumer behavior. Candidates must have a strong research background in cognitive-, experimental- or social psychology, including but not limited to conceptualization, experimental design, data
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stakeholders (including senior leaders) to seek by in and ensure alignment of objectives and resources Programme Solutioning & Coordination - Use data, dashboards and evidence-based insights to understand
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, will be an advantage in managing clients in the region. • Tech savvy and proficient in MS Office, SaaS, and possess basic data analytics skills. Experience & Attributes • 5 years of relevant
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on administrative matters. • Monitor and manage the claims processing workflow, ensuring that claims are processed efficiently and accurately. Investigate and resolve any discrepancies or issues. Data Management
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, sort and file reports. • Scan, upload, and archive of documents. • Perform data entry tasks. • Other ad hoc clinic and administrative supports as assigned by the supervisor. Qualifications
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support covering academic matters, immersive learning, and career-related initiatives. • Analyse student data and feedback to support continuous programme improvement and inform management decisions