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fieldwork-related workshops and seminars for students; and Assist in the development and updating of fieldwork teaching materials. Requirements A PhD/Master’s degree in Social Work/Counselling, preferably
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to machine learning, data analysis, and software development; Assisting in the design of experiments, algorithm coding, and analysis of large datasets; Developing and maintaining websites and web applications
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) an honours degree or an equivalent qualification; and (b) a good background of engineering management domain, serious games and educational research methods. Applicants are invited to contact Dr Paul Y. P
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Applicants should have: (a) a PhD degree in Food Science / Technology / Safety and Nutrition or a related field; (b) a strong commitment to excellence in teaching and research, with demonstrated
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of research include diagrammatic calculations, quantum Monte Carlo methods, density matrix renormalization group and tensor network states, and artificial intelligence and neural networks, with a particular
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of Unit or his/her delegates. Qualifications Applicants should have: (a) a PhD degree in Computer Science, Mathematics, Statistics or related disciplines; (b) at least three years of post
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delegates. Qualifications Applicants should: (a) have a PhD degree in a relevant discipline; (b) possess good subject knowledge of and skills and competence in the appropriate academic or professional
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mechanism to select the model or agent for computationally efficient and reliable inference and reasoning; (b) investigate cross-model conformal prediction methods to establish a bounded error rate for LLM
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activities for the University, Faculty or Department; and Other duties as assigned by the Head of Department. Requirements: Applicants should possess a relevant PhD Degree and teaching experience is preferred
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academic departments in the Faculty of Engineering, and it offers a full spectrum of BME programmes, from BSc, MSc to PhD. The team is the first group to offer Biomedical Engineering related undergraduate