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analysis, and proficiency in statistical and computer modelling software (e.g. R, Python, Matlab, and C++) would be advantageous. The appointee will work with a research team to study the methodologies
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The appointee will be expected to (a) support and lead in conducting high quality research; (b) engage in teaching and learning activities in the areas specified above; (c) support academic programme management
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Successful candidates should have a demonstrated ability to build a world-class research programme related to CityUHK’s strategic research areas, plus a commitment to education and student mentorship
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Biomedical Sciences, Medical and Health Professions Education, Computer Science or a related discipline. They should have a good understanding of the practical application of technology in teaching and
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activities; (b) support academic programme management; (c) organise research events and experiential learning activities (e.g., conferences, seminars and student field trips); (d) play a liaison role between
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Successful candidates should have a demonstrated ability to build a world-class research programme related to CityUHK’s strategic research areas, plus a commitment to education and student mentorship
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strong publication record and outstanding citation counts in the research areas; (iii) experience in applying external grants and teaching relevant courses and relevant programme administrative experience
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computational modelling is a plus. The appointee should be organized, self-motivated and be able to work independently as well as in a team. He/she will work under the supervision of Professor Cora Lai in
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digital humanities. Area of specialization is entirely open. The appointees will contribute, in terms of teaching and administration, to the department’s new Master of Arts program in ‘Digital History in
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, preferably in a higher education setting; (c) have good knowledge and skills in quantitative and qualitative data analysis using relevant computer software and applications such as SPSS, MaxQDA and NVivo