1,342 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" uni jobs in Singapore
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, ensuring data protection, integrity and rapid recovery Develop, maintain, and test comprehensive DR and BCP for critical IT services Troubleshoot and resolve IT infrastructure issues, faults, incidents, etc
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A Research Associate position is available in the laboratory of Dr. Sing Yian CHEW at Nanyang Technological University, Singapore, to a highly motivated candidate who has a passion for tissue
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The role supports institutional reporting and data management related to Continuing Education and Training (CET). It involves coordinating and consolidating data across multiple systems and CET
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to align business strategy, processes, information and technology Develop and maintain enterprise-wide IT Architecture, as a common blueprint for the University in achieving cost efficiency, and alignment
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The Solutions Analyst/Architect will play a key role in driving Nanyang Business School’s digital transformation agenda by designing and implementing automation and data-driven solutions across
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-driven workflows for curating, augmenting, and analyzing scientific literature data. The role focuses on designing rule- and agent-based approaches to assess data completeness, infer missing experimental
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individual to join our Academic Analytics team as Manager, Quality Assurance and Educational Analytics, working closely with the Assistant Dean for Educational Evaluation to advance data-driven quality
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processes for postgraduate students: a) Verify and analyse applicant information for accuracy, relevance, and completeness to ensure informed decision-making. b) Database management–maintain data
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coordination of examinations, admissions, student engagement, and data reporting to promote a seamless and enriching graduate experience. Key Responsibilities: PhD Qualifying Examinations (PQE) and Thesis
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the day-to-day coordination of the project, conducting data collection with children, and contributing to the development of machine learning and deep learning models for early prediction. The research