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cohort study. SG100K, spearheaded by Prof. John Chambers, is a landmark population cohort study of 100,000 Singaporeans of diverse ethnic background. The cohort has completed recruitment of >80,000
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or use existing simulation platforms to validate the developed algorithms and models. Analyse simulation data, and create visualizations to support research findings. Design and build prototypes
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literature review, algorithm design, experiment design, model training, evaluation, and benchmarking. Work with and supervise undergraduate or graduate student assistants, guiding them in data collection
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ethical and security standards. Concept and Algorithm Development: Innovate in data science, machine learning, and AI. Data Analysis and Reporting: Contribute to data analysis, reporting, and publication
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of the designed algorithms and systems. Help with research presentation works such as high-quality paper writing. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering
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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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Advances 2024, Nature Communications 2024, PLOS Biology 2024, Cell 2024, Developmental Cell 2023, 2010, 2011). Prof. Wang, an EMBO Associate Member, is an internationally recognised leader in the field
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models using frameworks such as PyTorch and TensorFlow. Research experience in medical image analysis using deep learning algorithms. Strong track record in machine learning, computer vision, and medical
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technologies Experience with student supervision is a plus but not required For more information, please contact Asst Prof Liang Kaicheng (kaicheng.liang@ntu.edu.sg ). We regret that only shortlisted candidates
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contact information (email and telephone numbers) of 3 referees. Please send applications to: Assistant Prof John Chua (email: phsjcje@nus.edu.sg ). Only shortlisted candidates will be contacted More