955 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "FEUP" positions at National University of Singapore
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pathway rules (where applicable). 3) Implementation tracking & handover Track implementation actions post-approval with programme operations teams (e.g., handbooks, public programme information, LMS setup
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serves as a key analytical engine for Southeast Asia and the surrounding region. The Centre delivers rigorous scientific evidence to support decision-making, enabling regional leaders to translate data and
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deliver under tight deadlines Proficiency in SAP or S/4HANA, Microsoft Office applications, and data visualization tools. More Information Location: Kent Ridge Campus Organization: School of Computing
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donor experiences. Using data analytics to assess campaign effectiveness and guide strategy improvements. Staying up to date with industry trends to introduce innovative engagement approaches. Job
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programmes. Collect and analyse data on education systems in Singapore and internationally to support NUS’s overall admissions strategy. Collaborate with internal and external stakeholders to ensure a smooth
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and verbal forms. ▪ Detail-oriented, proactive, and resourceful. ▪ Discreet handling of confidential information. ▪ Ability to work independently and as part of a team. ▪ Strong interpersonal skills and
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with the PI and local research teams • Manage field-based data collection, including surveys, interviews, focus groups observational assessments • Design and validate survey instruments and context
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., Human Biomedical Research Act, Medicines Act, Personal Data Protection Act, Penal Code, Health Products Act, etc, and their related Regulations) and to NUS’ policies and guidelines (e.g., DMP, RDMP, etc
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, cardiac and MR spectroscopy. Candidate will also have the opportunity to learn MR data processing and programming if keen. Main Duties and Responsibilities Perform MR imaging on a range of body parts and
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• Experience deploying, testing, and iteratively improving prototypes through user studies • Ability to analyze user study data and translate findings into system improvements • Strong problem-solving