11 image-processing-postdoc-"https:" Fellowship positions at Hong Kong Polytechnic University
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for visual stimulation and data acquisition, including the use of specialised software and hardware for retinal imaging and functional assessment; (b) analyse and interpret experimental data using advanced
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units (to be established) under the PolyU Academy for Artificial Intelligence (PAAI). He/She will assist the project leader in the research project - “AI-based medical image analysis with privacy
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”. They will be required to: (a) collect and organise relevant data; (b) perform data analysis on functional magnetic resonance imaging (fMRI), brain stimulation and computational modelling data; (c
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- “Visual cues in persuasive reviews: The role of before-and-after surgery photos in aesthetic medicine”. Qualifications Applicants should have a doctoral degree or an equivalent qualification and must have
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in the research project - “Development of efficient and cost-effective equipment for angstrom-level precision polishing and its application in processing optical complex surfaces”. Qualifications
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, diversity and scalability in data processing; (b) develop efficient training frameworks to support various stages of Large Language Models (LLM) development, including pre-training, post-training and
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Assistant, applicants should have an honours degree or an equivalent qualification. For all posts, applicants should have a strong background in materials processing technologies, especially for light alloys
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more than five years of post-qualification experience at the time of application. Preference will be given to those with related material processing and 3D printing research experience. Applicants are invited
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experience at the time of application. For all posts, applicants should also have: (a) strong research background in speech deepfake detection, spoken language processing and/or speech recognition; (b
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/TEA modeling, data analysis, and relevant software applications. For the post in Laser Flame Diagnostics, applicants should have relevant experimental background and data processing skills. For all