865 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"SUNY" positions in Singapore
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, the National University of Singapore has successfully pioneered the pilot phase of the Communities & Engagement (C&E) Pillar that provides meaningful service-learning for students and transformational impact for
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of the programme in accordance with the policies of the College and the University. The successful candidate is also expected to teach core, elective and/or studio courses in accordance with the expected teaching
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(SCALE), established in 2016 as the National University of Singapore’s (NUS) hub for lifelong learning, is both an academic school and a university-wide platform. As a school, SCALE specialises in multi
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, and prepare performance reports for management review. Job Requirements: • Bachelor’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Preferably system
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tunnel experiments is a plus • Experience in programming and AI/machine learning is a plus More Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department
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programming languages. Experience with CI/CD tools, containerization (Docker), and version control (Git). Problem-solver mindset — you enjoy building, debugging, and scaling complex systems. A strong learning
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stakeholders both externally and internally to positively impact on the programmes and their expected outcome. Explore and leverage on the use of innovation to optimize student’s learning and employability
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agencies. Qualifications • PhD in Robotics, Mechanical Engineering, Mechatronics, Computer Vision, or a closely related field. • Strong expertise in robot design and at least one of
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Chinese dialects used in Singapore (e.g. Hokkien, Cantonese, Teochew or Hainanese); Malay or Tamil. Willingness to learn about and work with researchers using mixed methods; prior experience of working with
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support covering academic matters, immersive learning, and career-related initiatives. • Analyse student data and feedback to support continuous programme improvement and inform management decisions