80 computer-programmer-"Multiple"-"Embry-Riddle-Aeronautical-University"-"U"-"U.S" "O.P" positions at Hong Kong Polytechnic University
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School of Design Part-time Research Assistant (Ref. 250813019) [Appointment period: two months] Duties The appointee will assist the project leader in the research project - “Multiple component
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materials, publicity materials and correspondences; (f) liaise with internal departments, administrative units and external organisations to execute various events, activities and programmes; (g) assist
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projects on-time with minimum supervision. Preference will be given to those with research experience in machines designs and development of computer programmes for numerical computation of electromagnetic
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MAFA programme”. He/She will be required to: (a) help conducting the python summer bootcamp and the technology-related tutorials for the four technical subjects designed for MAFA; (b) prepare training
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, Computer Science and must have no more than five years of post-qualification experience at the time of application; (b) have research experience in multimodal data fusion, video / image processing, and structural
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preliminary research on the application of brain-computer interface technology in enhancing tourism experiences for families with ASD children”. Qualifications Applicants should have: (a) a doctoral degree
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required to: (a) undertake specific research project(s) under the guidance of a project leader and contribute to the development of research activities; (b) develop computer programs to assess and
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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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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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computational approaches for calcaneal fracture management: integrating 3D modelling, deep learning, and reinforcement learning”. Qualifications Applicants should have an honours degree or an equivalent