11 parallel-processing-bioinformatics Fellowship positions at Hong Kong Polytechnic University
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application; (b) have solid academic background from a reputable university; (c) have research/engineering experience in Computer Vision, Transfer Learning, Large Foundation Models or Collaborative Agents
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application; (b) experience in conducting human neuroscience research and/or be proficient in computer programming, e.g. Matlab and Python; (c) a good command of both written and spoken English; and (d
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posts should: (a) also have expertise in operations research, operations management, power grid and mobility; and (b) have expertise in data analysis, computer programming and using commercial
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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