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Service-Learning and Leadership Office Project Associate / Project Assistant (Ref. 250521001) [Appointment period: six months] Duties The appointee will assist the project leader in the research
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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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experience at the time of application; (b) have experience in InSAR applications for landslides and reclamations, PolSAR/PolInSAR for vegetation mapping, finite element analysis, numerical simulation, machine
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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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will assist the project leader in the research project - “AI-based fashion video generation system”. They will be required to: (a) take part in design and carry out artificial intelligence, machine