15 parallel-processing-"Multiple" Fellowship positions at Hong Kong Polytechnic University
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the research project - “Investigating social psychological processes in the context of management”. He/She will be required to work at the intersection of social psychology and management, using knowledge
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education for insomnia disorder - A non-inferiority randomized controlled trial with mixed-method process evaluation and cost-effectiveness analysis”. He/She will be required to: (a) write research papers
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, process and analyse qualitative and quantitative data; (d) develop design concepts, interactive prototypes and presentation materials; (e) support programming, technical development and digital
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design prototypes and provide technical support; (b) conduct design studies with data collection and analysis; (c) document the design and research process; (d) conduct research writing; and (e
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experience or equivalent qualifications and experience. Preference will be given to those with research experience in material processing and 3D printing. Applicants are invited to contact Prof. Tang Chak-yin
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the University and Boeing research agreement. They will be required to: (a) develop machine learning-based image processing algorithms for surface condition recognition, defect detection, and digital feature
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/ Research Assistant [Appointment period: each for twenty-four months] Duties The appointees will assist the project leader in the research project - “Research on advanced extrusion process for stiffened wide
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the research project - “Advancing generative AI algorithms for haptic rendering: bridging human-computer and human-robot interactions”. Qualifications Applicants should have a doctoral degree or an equivalent
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on application logic rather than underlying algorithm development), and the capability of independently driving the full "Data-AI-Deployment" process; (c) the ability to evaluate the fit between AI applications
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, catalysis or energy-related chemical processes; and / or (iii) ability to work independently and as part of a multidisciplinary team. Applicants are invited to contact Prof. Cheng Song at telephone number