370 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at National University of Singapore
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modelling technologies to support educational delivery, assessment, and learning experiences, while also contributing to research and innovation. Working in close partnership with our faculty, students
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preferred Experience as an office manager, and/or the use of SAP S/4 Hana will be an advantage Effective communication (written and verbal) Self-initiated, willingness to learn, and independent Good with
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learning environment. • Resilience and Wellness Programmes: Contribute toward planning and implementation of these efforts, including logistics administration and safety management. This includes
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unique learning journey and embraces growth beyond academics — supporting personal development, fostering meaningful peer connections, and providing comprehensive socioemotional care through managing
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Make an Impact Head, Student & Alumni Engagement - Be the Heart of Our ISS Family Were your years at NUS-ISS transformative? Did the people, learning, and community shape the professional you are today
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to make a future impact as thought leaders in Singapore law and in the wider academic research community Successful candidates will be appointed for two years on a competitive salary. You will teach
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Qualifications • Degree in Computer Science, Computer Engineering, or equivalent • Certified Project Manager, either CITPM or PMP certified, with at least 8 years of experience in IT, including 3 years
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techniques using R or Python and the ability to teach courses in computational communication, social media research, network analysis, and/or time series analysis. How to Apply (Closing Date: 15 October 2025
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well as teaching and learning methods. • Strong ability to engage and facilitate discussions with undergraduate students. • Prior teaching/facilitation experience with good student feedback will be
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to work well independently and with a multi-disciplinary team with diverse interests. • Strong interest in urban sciences/cities-related disciplines, as well as teaching and learning methods. • Strong