82 phd-in-image-processing positions at Hong Kong Polytechnic University in Hong Kong
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to the Vice President (Education), the appointee will be required to assume the following responsibilities:- (a) provide visionary and innovative leadership and oversee the planning, operation, initiatives and
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implementation; b) monitor the project implementation details; c) develop control algorithms and digital twin models; d) guide prototype development and laboratory testing; e) analyse test data and
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project - “Deep learning-based approach for process parameter optimization of SiC wafer under limited data”. He/She will carry out research in the areas of machine learning and data science, and also be
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Biomedical Imaging, Instrumentation, Sensing and AI, Molecular, Cellular and Tissue Engineering, Sports and Neuromusculoskeletal Engineering, Prosthetics, Orthotics, Smart Ageing and Rehabilitation Engineering
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prototype development and laboratory testing; (e) analyse test data and iterate designs; (f) publish top-tier academic papers; and (g) perform any other duties as assigned by the project leader
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) for patient interaction and personalised health guidance; (b) develop and integrate chatbot workflows in Botpress or similar platforms; (c) support data ingestion, processing and interpretation for remote
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and culture. Currently, the Department offers PhD and MPhil programmes, a taught-master degree programme, a major degree programme in Chinese History and Culture, two minor degree programmes in Chinese
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computer literacy including MS Word, Excel, PowerPoint and Chinese word processing; (d) have good interpersonal, communication and task management skills; (e) be self-motivated, well-organised, detail
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include English Language, Chinese Language and Mathematics; (b) good computer literacy including MS Word, Excel, PowerPoint and Chinese word processing; and (c) good communication skills. Applicants
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of the above-mentioned disciplines. For both posts, applicants should have research experience in either in vivo/in vitro animal studies, Bio-FET, nanomaterials, medical imaging or AI. Preference will be given