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, normalising, and creating datasets, as well as training LLMs. • Analysing and interpreting LLM results, evaluating model performance and recommending methods for improvement. • Collaborating with legal
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AI for SE; SE for AI; software analytics; formal methods; software testing; software maintenance & evolution; human-aspects in SE; engineering IoT, Cyber-Physical Systems & drones; sustainable SE
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engages in methodological research and offers a PhD specialty track in Biostatistics and Health Data Science. The Centre's Biostatistics Core team primarily provides statistical support for collaborative
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University Town. Students live and learn at the college as part of the University Town College Programme, an alternative pathway to the General Education Programme at NUS. Besides formal curriculum, students
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work with our team to conduct research on the development of image analysis algorithms and AI methods for hardware security evaluation. The roles of this position include: Study literatures on multi
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related fields, but those with a PhD degree will be strictly preferred. Experience in active and blended learning pedagogy and a track record of excellent teaching will be a plus. Primary Location
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, assessing and grading of the continuous assessments, providing feedback to students Key Requirements: • PhD or Masters in related fields • Extensive industry and/or academic experience • Effective
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of the continuous assessments, providing feedback to students Key Requirements: • PhD or Masters in related fields • Extensive industry and/or academic experience • Effective coordination and communication skills
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. Analyze experimental data using various software tools and techniques. Maintain organized records of all research activities, protocols, and findings. Contribute to the interpretation of results and
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and implement new experimental methods. High-level expertise in the required experiment or modelling methods. Ability to initiate collaboration research in multidisciplinary team. Oversee and report