117 parallel-computing-numerical-methods positions at Hong Kong Polytechnic University
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Department of Land Surveying and Geo-Informatics Postdoctoral Fellow (Ref. 250502015) [Appointment period: twelve to twenty-four months] Duties The appointee will assist the project leader in
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the project leader in the research projects - “The job characteristics and well-being of personal care workers in Hong Kong’s residential care homes of the elderly: A mixed-methods study”, “Unraveling the well
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- “Research on methods for distributed workshop scheduling considering loading efficiency”. Qualifications Applicants should: (a) have an honours degree or an equivalent qualification; (b) have experience
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(tgCBFI) for people with schizophrenia and their families: a mixed-method study”. They will be required to: (a) assist in project management and coordination; (b) prepare reading materials and
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research using methods such as sensing technique, 3D printing, human-computer interaction, simulation, and/or machine learning to address challenges in machinery motion planning and construction safety
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Innovative Multimedia Entertainment (MScIME); (b) engage and provide a high-quality learning experience to students by designing, coordinating and teaching the subject(s) for the MScIME programme offered by
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social policy, health policy, labour and welfare policy, social entrepreneurship, social innovation, regional/area studies and quantitative research method; (c) have proven track records in teaching
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Chinese; (c) have good teamwork and interpersonal skills; (d) have experience in psycholinguistic methodologies for data collection and analysis; and (e) be proficient in computer programming with
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The appointees will assist the project leader in the research project - “Enhancing robotic learning with 3D multimodal large language models (MLLMs): methods and applications”. Qualifications Applicants
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for the Research Associate post should have a master’s degree or a good honours degree in Computer Science or Programming with three or more years of research/relevant work experience. Applicants for the Research