18 Education-"https:"-"https:"-"https:"-"https:" uni jobs at Hong Kong Polytechnic University
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. Qualifications Applicants should have: (a) an honours degree in Education / Construction / Surveying or a related field or an equivalent qualification, preferably with a master degree in the afore-mentioned
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test of a Chinese medicine diabetes education program”. He/She will be required to: (a) upload, maintain and update content of the project mobile application; (b) liaise with the application
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research and spatial interventions into frontline educational practices, including co-designing and facilitating interactive workshops, developing educational toolkits and self-help training manuals
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. Qualifications Applicants for the Project Associate post should have a master’s degree in Social Science, Psychology, Education, Counselling or other related disciplines or a good honours degree in one
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– “Interactive artifact simulation for digital forensics education”. The appointee will be required to: (a) source relevant literatures and documentations related to the project; (b) create a user-friendly
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collection as well as conducting assessments and interviews; (b) perform data entry; (c) prepare reports and edit materials; and (d) perform any other duties as assigned by the project leader or his/her
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; (d) maintain documentation and prepare project reports; and (e) perform any other duties as assigned by the project leader or his delegates. Qualifications Applicants should: (a) have an
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database searching; (b) liaise with collaborators for system development; (c) conduct interviews and monitor data collection at the study sites; (d) assist in data analysis and prepare reports; and
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their own special requirements for the remote experiment; (c) develop surveys and collect and analyse feedback from professors, lecturers and students; (d) assist in preparing progress and final reports
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Cantonese and English; (b) assist in curriculum material development (e.g., lesson plans, scoring manuals and online scoring practice modules); (c) train and co-supervise student assistants in data