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quantitative fields Experience in writing production level code in Python Strong background in data engineering, big data management, data modeling and warehousing Strong background in other programming
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experience for transactional and analytics systems, including querying and tuning large, complex data sets and performance analysis. • Working experience in big data and DataSecOps is an added advantage
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services, preferably Microsoft Fabric. • Strong database working experience for transactional and analytics systems, including querying and tuning large, complex data sets and performance analysis
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and implement AI-based NLP solutions, with a focus on large language models, reasoning, and healthcare applications. Assist with data curation, dataset construction, and conducting experiments or user
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. An applicant is required to have a Doctoral Degree in Hospitality and Tourism Management or a related field (e.g., Data Analytics, Big Data, Entrepreneurship, Asset Management, AI), preferably with extensive
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(SPHS) is a large scale population-based health research project by the Saw Swee Hock School of Public Health, National University of Singapore. We are looking for a team player with experience in making
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services from Infrastructure, Cyber Security, AI, Data Analytics, Enterprise Applications to Learning Technologies. A few areas of focus will be on the data analytics and AI, where the incumbent will drive
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. • Provide onsite/online technical support and loaner laptops on the assessment day. • Support large-scale digital assessments such as mid-terms, mini-semester exams and final exams every semester
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for external trainers and service providers. Competent in data interpretation and impact reporting, using large datasets to monitor programme effectiveness, student satisfaction, and operational performance
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to join the Division of Academic Computing & Information Services (ACIS) as an Analyst Programmer/Systems Analyst. This role drives the implementation of NIE’s Data Empowerment Programme, a flagship