20 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"https:"-"Inserm"-"Inserm" positions at Hong Kong Polytechnic University in Hong Kong
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the fabrication of mechanical components using multi-axis CNC machines, wire-cutting machines and EDM machines; (b) perform CAM programming (e.g., MasterCAM) to optimise machining processes; (c
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residential communities of Hong Kong; (b) plan and manage community-based participatory design research activities with team members, including organising events, collaborating with community stakeholders
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of Department or their delegates. Qualifications Applicants should have: (a) a doctoral degree or an equivalent qualification experience on Programming and must have no more than five years of post
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: (a) strong econometric background; (b) good knowledge of general programming; and (c) a good command of written English and good communication skills. Preference will be given to those with
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background in 3D perception, including segmentation, localization, mapping and multi-modal sensor fusion; (b) proficiency in programming languages such as Python and C++; (c) demonstrated ability
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) have a good knowledge of computer vision and programming skills; and (c) be willing to learn research methods, data processing and data analysis. Applicants are invited to contact Prof. Lawrence W. C
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a good honours degree with three or more years of research/relevant work experience in full-stack software development; (b) demonstrated proficiency in backend development using modern programming
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and energy materials. Preference will be given to those with knowledge of computer programming, AI and/or machining learning. Applicants are invited to contact Prof. Jianguo Lin at telephone number 2766
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management or a related field, or an equivalent qualification; (b) proficiency in programming, including Python and Matlab, data analysis, and standard Microsoft Office Suite; (c) a publication record
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disciplines; (b) have a good knowledge of data analytics, artificial intelligence and programming skills; and (c) be willing to learn translational research methods, data processing and data analysis