686 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" uni jobs at National University of Singapore
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Description To augment OAR’s Data & Systems (D&S) team and take on the management of the Alumni CRM (Blackbaud CRM) and Event System (Gevme) allowing existing D&S staff to undertake the migration of the Alumni
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and support to student interest groups engaged in cultural, faith, and/or ethnic-based activities, as well as groups involved in integration efforts. Manage reporting, data, and evaluation
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clinical sites and generate visit reports. • Monitor the progress of clinical study sites participating in a clinical study, and to assure the protocol is followed and data is reported accurately. • Evaluate
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in urban Asian settings, and the development of improved preventive and therapeutic measures for Singapore and other Asian populations. JOB PURPOSE This role primarily involves the data collection and
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committed to advancing big data analytics and providing directly useful credit intelligence to academic and professional communities. Our clients include international regulatory authorities (such as the IMF
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logistics and supply chain challenges through cutting-edge modeling, simulation, and data science? The Logistics Institute – Asia Pacific (TLI-AP), a university-level research institute at the National
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/software), end user and data management support to research groups within the school and for external collaborations. • Configuration of environments and release of applications to Windows/IIS/MSSQL/LAMP
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pathways and interdisciplinarity in CET, so does the need for guidelines, coordination and policies rise. Job Responsibilities Responsibilities will include gathering information on potential new policies
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, dedicated to addressing SAF's operational data science challenges and operationalising AI solutions. As the centre of excellence for AI, SAIC enhances the operational capabilities of SAF, driving productivity
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(AiDP) Programme. The programme focuses on the development and validation of advanced AI methodologies, including image processing, computer vision, and mathematical modelling, for cancer diagnosis and