100 coding-"https:"-"Prof"-"FEMTO-ST"-"https:"-"https:"-"https:"-"https:" positions in Singapore
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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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experience, and career goals Transcript (unofficial is acceptable) Sample code (optional) Sample paper (optional) Shortlisted candidates will be contacted for an interview and a coding task. Applications will
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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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: To have a good understanding of prevailing fire safety code and regulations, workplace safety and health, building codes and standards is beneficial. 6. Project Management Skills: The ability to plan
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of relevant research experiences or equivalent Prior experience in working with embedded systems is required. Prior experience with coding and evaluation of cryptography algorithms, specifically Post-Quantum
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on implementation/experimentation, maintain best practices for coding, safety evaluation, and data handling. Expectations: high research ownership, strong experimental rigor, proactive problem-solving, clear