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to undertake teaching and educational responsibilities for the training of medical students and postgraduate research students. Teaching methods will include extensive use of team-based learning and e-learning
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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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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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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
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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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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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, 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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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