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Management and Administration Public and Social Policy Research Methods The appointees will be mainly responsible for (a) engaging in teaching and learning activities; (b) supporting academic programme
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the humanities with computational or technical expertise. Ideal candidates will demonstrate strong programming skills and knowledge of AI methods, with a proven ability to advance creative expression and
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knowledge of AI methods, with a proven ability to advance creative expression and innovation. An ability to collaborate with colleagues from different departments in the Academy is fundamental. Applicants
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experience; (b) a good grasp of qualitative and/or quantitative methods; (c) a proven track record in service-learning and international service-learning; and (d) good interpersonal and communication
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digital humanities and/or other emergent research methods in the humanities. The successful candidate will deliver outstanding teaching across the curriculum, supervise research students, and contribute
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-year fixed term basis, with the possibility of renewal subject to funding availability and satisfactory performance. Applicants should possess a PhD or Master's degree in Nursing, Social Sciences, Social
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Management and Administration Public and Social Policy Research Methods The appointees will be mainly responsible for (a) engaging in teaching and learning activities; (b) supporting academic programme
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qualification; and (b) a good background in engineering management domain and educational research methods. Applicants are invited to contact Dr Paul Y. P. Tsang at telephone number 2766 4662 or via email at
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, modeling, production methods, materials and finish, parametric design, or game design, as well as participate in the full range of faculty responsibilities, including scholarly research and service
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condensed matter. An applicant must possess a PhD degree in physics or related field and demonstrate a strong track record of research in experimental condensed matter physics. Appointment at Associate