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”. Qualifications Applicants should: (a) have a PhD degree in Remote Sensing, Geomatics, GIS, Computer Science, Photogrammetry or a related field, and must have no more than five years of post-qualification
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Scanning Electron Microscopy, Interface toughness and strength tests, nanoindentation test, etc) and computational software (such as ABAQUS and COMSOL). Applicants are invited to contact Prof. Haimin Yao
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of family and mental health are preferred. They should be competent in advanced quantitative analysis (e.g. SEM, multi-level modelling, factor analysis) and experienced in using statistical software (e.g
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Chinese (knowledge of spoken Cantonese would be an advantage). A strong background on quantitative research methods and statistical modeling as well as the design and validation of performance assessment
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of Artificial Intelligence). General Requirements Candidates should have (i) a PhD degree in Data Science, Artificial Intelligence, Computer Science, Computer Engineering, or a relevant discipline; (ii) a good
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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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their research goals. Eligibility Applicants should have obtained / been conferred a PhD degree or an equivalent qualification, and the PhD degree should have been received no more than three years prior
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sensing, InSAR, ArcGIS software, machine learning application, etc.; (b) have good knowledge of programming languages, e.g. Python, Matlab, and C/C++; (c) have good communication skills; (d) be
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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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/or ethics of risk. Candidates should have a PhD in Philosophy (or related disciplines) by the start of the appointment and a record of publications in Philosophy, preferably in leading journals