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imaging, and NMR data acquisition/analysis. Perform bioinformatic sequence analysis to guide experimental design and correlate protein sequence features with amyloid assembly properties. Collaborate with PI
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on understanding the adoption patterns of teachers and students pertaining to the 2023 primary science syllabus. Through interviews, classroom observations, video analysis and questionnaires, this project aims
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on more sustainable societies. Key Responsibilities: Design and develop topologies and control strategies for DC/DC, DC/AC, and AC/DC power converters. Conduct simulations, experiments, and analysis
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. Key Responsibilities: Support the conduct of a feasibility study in primary care of using polygenic risk scores to tailor cancer screening. Research, data analysis and interpretation Support the
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two publications in SCI top-tier journals in relevant fields. Possess research experience in porous metal high-damping materials and disordered elastic metal interpenetrating phase composites, with over
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. The research staff will develop the fundamental chemistry of p-block elements-based compounds, in particular boron-containing molecules. The research staff will use experimental and analytical skills ranging
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Responsibilities: The candidate will work for the project to conduct the research on development of analysis framework on how to build up a generic framework to use learning-assisted approach to solve various
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computing. With extensive experience in medical image analysis, computer vision, and AI systems through collaborations with leading institutions. Key Responsibilities: Conduct advanced research in the areas
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research into the cellular and molecular mechanisms of fish immunity, with emphasis on mucosal and systemic responses. Conduct immune profiling, metabolomics, and systems biology analysis to identify
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management. The most important factor for a learning based method to find optimal solution is to have sufficient data. However, publicly available data is often not sufficient. Data argumentation techniques