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- “Development of a new reciprocating travelling superhydrophobic micro wire electrochemical discharge machining process for non-conductive materials”. Qualifications Applicants should have an honours degree
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more than five years of post-qualification experience at the time of application; and (b) strong background in accounting, finance or computer science/natural language processing/machine learning
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qualification; (b) have experience in conducting research, and skills in AI for industrial process modelling; and (c) be proficient in English. Applicants are invited to contact Prof. J. Z. Ren at telephone
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representation for multi-model fusion”. Qualifications Applicants for the Postdoctoral Fellow post should have a PhD degree in Computer Science, Electrical and Computer Engineering or a related discipline or an
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wearable sensing devices and human-computer interaction systems; and (d) be able to fabricate multi-material and multi-functional magnetic fibers to construct a fiber-based actuating system for a wearable
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precision operation as well as carry out data collection, system evaluation and benchmarking analysis; (g) prepare high-quality research outputs, including journal articles, conference papers, technical
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, finance or computing science/natural language processing/machine learning. Preference will be given to those who are proficient in Python, adept at processing large-scale data and have worked with large
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integration; (b) conduct algorithm research and development in areas such as computer vision, multimodal learning and embodied AI; (c) conduct experiments, data collection and performance evaluation; (d
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of a 3D ultrasomics AI prognostic system for adolescent idiopathic scoliosis progression via longitudinal surveillance scans”. Qualifications Applicants should have experience in image processing and
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, Computer Engineering, Electronic Engineering, Automotive Engineering, Aerospace Engineering or a related discipline plus at least six years of postdoctoral research experience or equivalent qualifications