1,421 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions in Singapore
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relations & lifelong learning community Strengthen alumni engagement to support growth (referrals, ambassadors, speakers/mentors, alumni communications and events). Develop pathways that encourage repeat
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AWS Management Console, AWS data storage (S3) and virtual machine (EC2) to enable research collaborators through Research Gateway. Enable AWS cloud infrastructure for different researchers within and
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Science, in particular, courses such as: Digital Payment and Innovation Applied Machine Learning Digital Transformation Strategy (digital) Product Management Spreadsheet Modeling Masters degree or PhD degree in
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Science, in particular, courses such as: Digital Payment and Innovation Applied Machine Learning Digital Transformation Strategy (digital) Product Management Spreadsheet Modeling Masters degree or PhD degree in
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Science, in particular, courses such as: Digital Payment and Innovation Applied Machine Learning Digital Transformation Strategy (digital) Product Management Spreadsheet Modeling Masters degree or PhD degree in
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Science, in particular, courses such as: Digital Payment and Innovation Applied Machine Learning Digital Transformation Strategy (digital) Product Management Spreadsheet Modeling Masters degree or PhD degree in
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Computer Science, AI/ML, Computational Biology, Food Science with computational expertise, or a related field. Experience with natural language processing, machine learning frameworks (e.g., PyTorch
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⦁ Deliver day-to-day technology and audio-visual support for a high-quality teaching and learning experience. ⦁ Deploy and support hybrid teaching technology (eg. Zoom) supporting either fully virtual
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nowcasting platform 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
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to perform the following responsibilities: • Advance NUS Libraries’ Special Collections by improving discovery, access and use of rare and archival materials to support teaching, learning and research