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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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software package (e.g. SPSS, Stata, SAS, R, Mplus) is required. The appointee will join an internationally active team of researchers in developing studies in the area of digital phenotyping in early
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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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/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
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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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offers MPhil and PhD degrees in economics, as well as a taught programme of MSc in International Banking and Finance (MIBF) and Msc in International Development Economics (MIDE). The Department invites
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Institute of Data Science. 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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(i.e., Person-in-charge of Division of Industrial Data Science). General Requirements Candidates should have (i) a PhD degree in Data Science, Artificial Intelligence, Computer Science, Computer
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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