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statistical analysis of corpus data; (b) prepare project reports; and (c) perform any other duties as assigned by the project leader or his/her delegate(s). Qualifications Applicants should have an
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satisfactory performance and funding availability. Applicants should possess a Master’s degree or above in Psychology, Cognitive Science, Neuroscience, Statistics or a related discipline. Preference will be
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information / statistics for data analysis to facilitate review of various HR related policies; (d) provide logistics and administrative support to meetings and staff forums; (e) coordinate with
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Statistics/Operations Research/Operations Management or closely-related disciplines. Good command of written and spoken English; familiarity with teaching; ability to work independently, proactively and
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Department of Industrial and Systems Engineering Part-time Research Assistant (Ref. 260319007) [Appointment period: three months] Duties The appointee will assist the project leader in the research project - “Impacts of teamwork on operations costs and flight delays: airline crew...
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; compensation and benefits; staff development and training; staff appraisal, reward and sanction matters, etc.; (c) search, collate and compile information / statistics independently under the guidance
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of renewal subject to satisfactory performance. Applicants should possess a Ph.D. degree in Computer Science, Mathematics, Statistics, computational biology, related disciplines or equivalent. They should be
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Mathematics or related fields, such as Statistics and Computer Science. The appointee will assist in delivering courses and tutorials at undergraduate and/or postgraduate level(s), and provide general teaching
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or equivalent, with 3 years’ related work experience, or a Ph.D. degree in a relevant discipline; (ii) solid statistical and computing skills; (iii) effective communication skills in both written and
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Duties Teach any of the following postgraduate course(s) in the upcoming Semester A 2024/25 and/or Semester B 2024/25: Statistical Machine Learning I Statistical Machine Learning II Exploratory Date