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- “Advancing UAV based low-altitude logistics: a network-based optimization framework for Hong Kong”. Qualifications Applicants should have an honours degree or an equivalent qualification. Preference will be
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network and customer engagement with machine learning”. Qualifications Applicants should have: (a) an honours degree or an equivalent qualification, preferably a master’s degree or above; and (b
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literature reviews, interviews or surveys. Familiarity in statistical analysis, AHP, Fuzzy Delphi or qualitative coding software is highly desirable; (c) strong written and verbal communication skills in
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to conduct site visits and liaise with stakeholders over the course of the project; and (g) have proficiency in MS Office and experience in statistical software (e.g. SPSS or R). Applicants are invited
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of and skills in conducting qualitative and quantitative studies; (c) have knowledge of using Microsoft Office and statistical computer software, such as SPSS; (d) have a good command of both written
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community projects; (b) experience and/or publications in global health; (c) proficiency in SPSS and Microsoft Office software including Chinese word processing; (d) a good command of both written
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) develop and distribute comprehensive learning materials to the students; (b) co-deliver software (CLO 3D) instruction and provide expert support; (c) analyse data and assist in evaluating
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, or similar data analysis and visualisation software; (b) solid experience in community-based research coordination; (c) strong interdisciplinary teamwork and stakeholder engagement skills; (d
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technical writing and experience in assisting research publication. Preference will be given to those who excel in impact-resistance measurement and computational software such as ABAQUS and PFC3D. Applicants
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project - “Advanced integrated co-packaged optics transceiver module for high-speed network applications”. Qualifications Applicants should have a doctoral degree or an equivalent qualification and must