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Requirements: PhD degree in physics Demonstrated experience in computer sciences Demonstrated experience in handling large size database Knowledgeable in theoretical physics, and at minima basic knowledge in
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. • Maintain expertise in state-of-the-art data manipulation and statistical analysis. • Strategic and scientific contributions at the indication/protocol/integrated analysis level. • Oversee large scale
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the SG100K team to shortlist participants for recruitment Run focus groups to get user feedback on procedures and concerns Check data flows, analyze the data to inform future large-scale implementation Write
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develop algorithms to identify and predict SRL subprocesses from multimodal learning data (e.g., EEG/fNIRS, eye-tracking, and think-aloud protocols); • Analyze large-scale learning analytics data
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Digital Twin for electric vehicle applications . The role will focus on utilizing novel machine learning models, large language models, and data science algorithms to develop battery models, optimization
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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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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. 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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of quantitative analytical methods to large datasets. Study key trends and gaps in agricultural sustainability in Southeast Asia. Coordinate and organize workshops with international collaborators. Presentation
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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