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an emphasis on technology, data science and the humanities. LKCMedicine is seeking to appoint a full-time Programme Manager to work on the Health-Driven Design for Cities (HD4) study. Jointly led by Professor
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. Governance and Performance Monitoring Oversee central governance and data management processes to ensure alignment with institutional objectives, track progress, and measure performance effectively. Establish
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disseminate findings for the upcoming large-scale longitudinal study Research on Early Education and Development in Singapore (REEDS). Requirements: Bachelor’s or Master’s degree in Psychology, Education
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computational materials science techniques (DFT, MD, machine learning force field modelling) with data-driven approaches. Work with team to design and implement high-throughput experimental workflows for rapid
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an emphasis on technology, data science and the humanities. We are looking for a Research Fellow to conduct AI for medicine research. The role will focus on developing foundation models to medical image
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in the development of regional climate and air quality models, and also the big data analysis. Good communication for stakeholder engagement and writing skills for reports and publications. Evidence of
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an emphasis on technology, data science and the humanities. LKCMedicine is searching for a Research Associate/Fellow in the field of Learning Analytics (LA) / Machine Learning (ML) under Professor Andy Khong
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' Interdisciplinary Learning through Large Language Model-Empowered Learning Analytics (MOE TRF 2/25 ZG) Project Introduction: We’re seeking a versatile Research Associate with a strong foundation in JavaScript and
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an emphasis on technology, data science and the humanities. LKCMedicine is seeking to appoint a full-time Research Fellow to work on the IN-CYPHER Programme. IN-CYPHER is Imperial Global Singapore’s inaugural
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physical activity and/or diet) or environmental epidemiology. Experiences of analyzing large-scale population data. Experiences working with electronic health records (desirable). Understanding of clinical