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assist the project leader in the research project - “Enabling bulk data transfers for Low-Power Wide-Area Networks”. He/She will be required to: (a) develop innovative solutions to improve
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), Artificial Intelligence (AI) or related disciplines or an equivalent qualification; (b) experience in coding and AI system; and (c) a good command of English. Preference will be given to those with
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, Operations Research, Computer Science or a related discipline with experience in optimization modeling and coding. Applicants are invited to contact Prof. Li Ang at telephone number 3400 2520 or via email at
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[Appointment period: two months] Duties The appointees will assist the project leader in the research project - “Structure-preserving Neural Network (NN) solvers for partial differential equations
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- “Multi-node dynamic transit for e-commerce long-haul transportation in hyper-connected logistics networks”. Qualifications Applicants should have: (a) an honours degree, preferably in logistics
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- “Fiber route estimation for optical networks in metropolitan areas based on DAS signal analysis”. Qualifications Applicants should have a doctoral degree plus at least three years of postdoctoral research
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) code the data (knowledge of Nvivo is preferred); (c) conduct various forms of data analysis for the project, including statistical analysis of assessment data and corpus data; and (d) perform any
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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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, and non-verbal IQ test. The appointees will be required to: (a) recruit participants; (b) assist in data collection, manual corrections of ASR-transcripts, and data coding/annotation and analysis