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command of both written and spoken English and Chinese; (c) have good computer literacy including MS Word, Excel, PowerPoint and Chinese word processing; (d) have good interpersonal, communication and
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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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- “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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. The application process closes on February 28, 2026. Successful applicants will be notified by the end of April 2026. The University is committed to diversity and inclusivity.The Faculty of Arts expressly
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or mathematical physics; Condensed Matter Theory , many-body quantum geometry; altermagnetism; cavity quantum science; quantum non-equilibrium processes; Casimir physics , Non-equilibrium quantum physics