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to support teaching and learning, including curriculum development, student supervision, and continuous improvement initiatives; (c) oversee project planning, execution, and delivery to ensure high-quality
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postgraduate levels; (b) contribute to the development and implementation of teaching and learning activities at undergraduate and postgraduate levels; (c) make significant inputs to curriculum and
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- “Cascaded selective prediction for reliable LLM agents”. He/She will carry out research in the area of machine learning and data science, and also be required to: (a) develop an effective cascading
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) contribute to the planning, implementation, and evaluation of marketing and publicity campaigns to enhance the Department’s visibility and promote its academic programmes; (b) develop and coordinate
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report the effectiveness; (c) provide creative ideas and inputs to develop new e-marketing materials; (d) source testimonials from students and alumni, write and produce marketing materials such as
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and task forces; (b) assist in and provide support to the development and implementation of new initiatives; (c) coordinate across divisions in the Office for reporting and office-wide activities
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researchers for project preparation; (c) assist in the purchase of materials and equipment of the laboratory; (d) monitor and log data of tests and measurements; (e) perform continuous development and
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Affairs Team of the Office which takes care of the media and stakeholder engagement activities for the University. The appointee will be required to: (a) develop stakeholder engagement and
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the Project Leader to develop reading tasks, exercises, other teaching & learning instructional resources, and reading materials in accordance with the primary and secondary education reading proficiency
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- “Development of modular microrobots and the image-guided intervention for minimally invasive anti‐adhesion treatment after tubal cannulation”. Qualifications Applicants should have: (a) a doctoral degree with