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processes. Develop innovative methods to enhance the reliability and accountability of AI systems. Collaborate on integrating trustworthiness principles (e.g., bias mitigation, adversarial defenses
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Evaluation efforts to review and interpret data related to curriculum effectiveness. - Use evaluation findings to guide improvements in curriculum design, instructional methods, and assessment. - Contribute
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Singapore’s SEA-LION initiative: to train foundation/large language models, as well as build datasets, evaluation benchmarks and developer enablement tools. To do this, you will establish and grow partnerships
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the PI and the project team. - Collaborate with PhD students, undergraduate researchers, and postdocs. Writing & Publications - Prepare and submit research papers to peer-reviewed conferences and journals
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-available CFD software Qualifications Possess a Doctoral degree in the area of Mechanical or Aeronautical Engineering, A good background in Fluid Dynamics / Aerospace Propulsion. Ability to work well with
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-motivator, able to work independently to collect data, analyse data, and communicate findings. Proficient in Microsoft Office and experience with Nvivo software. Willing to travel to school sites for data
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on Intelligent Software Engineering which conducts applied and fundamental research in the intersection of software engineering, artificial intelligence and cybersecurity. In the area of Cybersecurity, SCIS has
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settings, is a prerequisite for this position. This requirement ensures candidates are well-versed in academic teaching methods and possess the ability to foster a learning environment that integrates
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in addition to syllabus planning, class preparation, marking for assessments and student consultations. Requirements: • PhD degree or higher; Candidates with strong relevant industry experience will be
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and tutorials for at least 3.25 hours per week in addition to syllabus planning, class preparation, marking for assessments and student consultations. Requirements: • PhD degree or higher; Candidates