341 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at National University of Singapore
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, machine learning, pattern recognition, and digital image processing, particularly for biomedical or histopathology applications. Demonstrated ability to design, implement, and optimise numerical and
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and interpretable machine learning systems. The successful candidate will work on projects involving ensemble learning, large-scale data analytics, and high-performance model design, aimed at developing
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engineering or equivalent. • Possess good oral and written communication and interpersonal skills. • A good team player and able to work independently. • Desire to learn new skills as well as take on
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/ machine learning / statistics on spatial and single-cell omics (transcriptomics, proteomics, epigenomics, metabolomics, meta-transcriptomics, etc.) data. Independently carry out computational and
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and interpretable machine learning systems. The successful candidate will work on projects involving ensemble learning, large-scale data analytics, and high-performance model design, aimed at developing
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Centre for Education Technologies (AICET) under one of the AICET’s projects. Current projects include: Codaveri – An auto-feedback programming system Coursemology - a gamified e-learning platform Softmark
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to provided specifications and learning objectives. Perform quality checks on uploaded content to ensure accuracy, formatting consistency, and alignment with educational standards. Create and edit generative AI
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-of-semester feedback reports, and support alumni communications and lifelong learning engagement. Advanced Placement Credit (APC) administration: Triage APC queries, verify documents, evaluate requests against
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that delivers real-time, hyperlocal information on urban heat risks in tropical cities. Leveraging Doppler lidar–based microclimate studies and machine learning, the research emphasizes vulnerable groups
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or Teaching Assistant at the National University of Singapore (NUS) Are you passionate about data science, machine learning, and artificial intelligence? Do you enjoy teaching and empowering others with