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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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- “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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, immunohistochemistry, EEG/EMG in mice is strongly preferred. Experience in molecular cloning or computational modeling is a plus. The appointee should be organized, self-motivated and be able to work independently as
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Assistant (two posts) [Appointment period: each for twenty-four months] Duties The appointees will assist the project leader in the research project - “Metal forming technologies and numerical modelling
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posts) [Appointment period: each for twelve months] Duties The appointees will assist the project leader in the research project - “Auto-calibrated real-time locating service-based production logistics
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implementation; b) monitor the project implementation details; c) develop control algorithms and digital twin models; d) guide prototype development and laboratory testing; e) analyse test data and
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) lead market analysis, requirements gathering, and conceptual design; (b) optimise electromagnetic design of motor through simulations; (c) develop control algorithms and models; (d) guide
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appointee will join the LEO Dr. David P. Chan Institute of Data Science and will be expected to: (i) carry out research and submit papers to top journals in the field of large vision models or large language
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the research project - “UAV-based inspection of aircraft with deep learning-based visual inspection system”. Qualifications Applicants should have a doctoral degree or an equivalent qualification and must have
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possibility of further appointment] Duties The appointees will assist the project leader in the research project - “Advancing large recommendation models: Techniques for high-quality data construction and