62 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nanyang Technological University
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administrative processes using emerging technologies such as Generative AI and low-code platforms As a key enabler and catalyst for change, the job holder will collaborate closely with internal and external
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, data cleaning, statistical and thematic analysis. Familiarity with statistical software (e.g., SPSS, R, or Mplus) and qualitative coding tools (e.g., NVivo). Strong writing skills and ability
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literature reviews (summarizing, coding, and organizing relevant literature). To compute different statistical analyses for the findings obtained. To contribute to research translation and dissemination
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of the programme. Ensuring that NTU’s rules, practices and codes of conducts on intellectual property rights and academic integrity are strictly adhered to. Any other task that may be necessary for the successful
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-tuning using modern frameworks. Software Engineering Excellence: Demonstrates expert-level Python skills and a strong commitment to Software Engineering best practices, writing code that is clean, modular
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analysis software. Experience in classroom observations and video data coding. Experience of collating and organising large amounts of data (video/audio) Skills in or knowledge of managing/using a Network
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, writing code that is clean, modular, and maintainable. MLOps & Cloud Proficiency: Fluent in the essential MLOps toolkit, including Git, Docker, and CI/CD principles. Have experience building data and model
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empirical and quantitative skills. 3. Has good coding skills. 4. Has good communication skills. 5. Visualization skills an added advantage. We regret that only shortlisted candidates will be notified. Hiring
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Engineering best practices, writing code that is clean, modular, and maintainable. MLOps & Cloud Proficiency: Fluent in the essential MLOps toolkit, including Git, Docker, and CI/CD principles. Have experience
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the University and with external collaborators. Support project coordination activities, including documentation of research workflows, version control of code and data, and supervision or mentoring of research