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topics ranging across programming language (especially Bayesian statistical probabilistic programming), statistical machine learning, generative AI, and AI Safety. Key Responsibilities: Manage own academic
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research experience in data visualization, human computer interaction, machine learning, data mining or data analytics It is preferred that the applicant is a matriculated student of another University
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climate and air quality data sets for SEA for present and future, and also the database for detailed exposure estimations and health assessments, and developing population mitigation strategies
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reports 3) Inspect quality of data in recording devices and document the quality observed in a computer system. 4) Download, relocate data from the recorders and update the status in the system 5) Data
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in the preparation of computer images for virtualization streaming to lab PCs. Support lab supervisors in conducting quiz sessions or assessments. Ensure quick response to equipment failure by
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adaptation; reinforcement learning and inverse reinforcement learning. o Machine Learning & Intelligence, including machine learning and adaptation; deep learning; computer vision; machine intelligence
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S-Lab for Advanced Intelligence, established in 2020, is a university laboratory at NTU focusing on research and development of cutting-edge AI technologies in computer vision, natural
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or immunology is preferred Candidates with no relevant experience are welcome to apply as training will be provided Excellent ability to understand instructions and technical processes Basic computer skills
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and machine learning models Proficiency in coding using Python Knowledge of biomechanics and computer vision is a plus Experience in the following skills is a plus: (1) biomechanics software (e.g
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aspects of computational modelling, brain-computer interface technologies as well as within NUS focusing on design and application from the lens of landscape architecture. The research assistant to be hired