406 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" uni jobs at Nanyang Technological University in Singapore
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on Thurlings et al.’s models of feedback processes, most feedback in computer systems is cognitivist in nature. The advancements in LLMs appear promising in bridging this dialogic gap in feedback and learning
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computational analyses (e.g., regression, network analysis, machine learning). Academic writing skills and willingness to co-author publications. Strong problem-solving skills and ability to work independently
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
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outreach activities and events. Conduct safety risk assessments for all equipment and processes. Requirements: Degree in Mechanical/ Mechatronics/ Manufacturing/Computer Engineering. At least 10 years of
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/or computational skills (e.g., large-scale data analysis, bibliometric analysis, machine learning methods) will be an advantage. Excellent written and oral communication skills. We regret that only
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/3D animation studios. This role is central to enabling high-quality, future-ready teaching, learning, and research across animation and adjacent disciplines such as Interactive Media, Game Design, and
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research team as a Research Engineer. The successful candidate will support ongoing research initiatives by applying advanced machine learning, NLP, and large language models (LLMs) to develop next
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for data management. Reporting and Documentation: Maintain records of RDM development work and write guidelines to support institutional data management policies. Research Database Management: Support the
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tools (e.g. RPA, intelligent document processing, workflow automation) Experience designing dashboards and reports using modern BI tools (e.g. Power BI) Working knowledge of AI / machine learning concepts
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applications for a Visiting Professor position in Computational Statistics, Statistical Signal Processing, Bayesian Inference, or Machine Learning. Candidates should hold a Ph.D. in statistics, mathematics