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] Duties The appointees will assist the project leader in the research project - “Development of smart wellbeing-driven innovative forecasting technology (SWIFT) for mechanically ventilated environments
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- School of English - Faculty of Dentistry - Department of Civil Engineering - School of Computing and Data Science - Department of Electrical and Electronic Engineering - Department of Mechanical
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equivalent qualification in Materials Science, Mechanical / Applied Mechanics, Physics, Computer Science, Data Science, or a closely related field for no more than three years prior to the commencement of
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interdisciplinary areas. Research fields of particular interest include, but not limited to: biomedical science and engineering veterinary science computer science and data science neuroscience and neural
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the possibility of renewal subject to satisfactory performance. Applicants should have a Ph.D. in bioinformatics, genetics, computational biology or other relevant disciplines, and in-depth experience with at least
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Department of Mechanical Engineering Part-time Research Assistant (Ref. 250519006) [Appointment period: three months] Duties The appointee will assist the project leader in the research project
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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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or more years of research/relevant work experience; (b) good knowledge of and working experience in BLE system design, AI data analysis and mechanical system design; and (c) good command of written
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and computational physics High-energy physics/astrophysics/cosmology Statistical mechanics/complex systems/non-linear physics Machine learning/first-principles calculations/large-scale simulations