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- “Suppressing multipath-induced false alarms for robust 5G mmWave UAV detection via geometric channel modeling”. Qualifications Applicants should have an honours degree or an equivalent qualification and research
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using simulation software (e.g. AnyLogic, Netlogo). Applicants without simulation experience but with suitable core relevant backgrounds will also be considered. Applicants are invited to contact Prof
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Applied Physics; (b) experience in building energy simulation, preferably TRNSYS; (c) a good commend of both written and spoken English, with strong academic writings and presentations skills; and (d
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a mirror-neuron-inspired framework to interpret video-derived subtasks and compose relevant atomic skills into coarse molecular skills; (e) conduct simulations and experiments, including data
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simulation projects”. They will be required to: (a) plan, execute and monitor marketing campaigns and promotional strategies; (b) manage social media channels, including content creation and engagement
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– “Interactive artifact simulation for digital forensics education”. The appointee will be required to: (a) source relevant literatures and documentations related to the project; (b) create a user-friendly
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imaging science or related field or an equivalent qualification; (ii) demonstrate research skills in imaging science and machine learning, particularly on image reverse engineering, fake image and video
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the research project - “Simulation modelling of advanced hydro-adaptive robot forming process for metal foils”. Qualifications Applicants should have an honours degree or an equivalent qualification. Applicants
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Responsibilities work on the research projects related to photonic or neutral atom quantum computing, and quantum information/simulation under co-supervision of Profs. Zidan Wang & Xianmin Jin coordinate theoretical
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simulation and experimental prototypes for drones, robotic systems, and autonomous laboratory infrastructure. Collaborate across multidisciplinary teams (electrical engineering, robotics, control, AI