11 parallel-processing-bioinformatics Fellowship research jobs at Hong Kong Polytechnic University
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) perform myopia research using animal models; (b) perform biometric measurements on animal eyes and analyse images and statistical data; (c) perform mass spectrometry and bioinformatics analysis; (d
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posts) [Appointment period: each for twelve months] Duties The appointees will assist the project leader in the research project - “Study on design and analysis of high-performance parallel manipulators
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implement novel XAI algorithms; (f) collect, process and analyse multi-modal data; (g) prepare research papers for publication; and (h) perform any other duties as assigned by the project leader
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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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opportunities for innovative technologies; (c) explore and evaluate emerging technologies, including AI, to enhance teaching, learning and administrative processes; (d) pilot digital solutions and provide
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) strong background in quantitative methods, statistics, computer science, geospatial data analysis and modeling; (b) experience in AI and geospatial computer version; (c) advanced skills in scientific
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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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Assistant, applicants should have an honours degree or an equivalent qualification. For all posts, applicants should have strong background in materials processing technologies, especially for light alloys
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) optimise BIM software performance and address challenges, including model processing, data storage, and rendering efficiency; and (e) collaborate with AI algorithm teams to understand the business