11 parallel-processing Fellowship positions at Hong Kong Polytechnic University in Hong Kong
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/Information Science (e.g., Computer Science, Human-Computer Interaction, AI) or related disciplines, or an equivalent qualification, and must have no more than five years of post-qualification experience at the time of
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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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- “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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generative AI algorithms for haptic rendering: bridging human-computer and human-robot interactions”. He / she is required to: (a) undertake specific research project(s) under the guidance of a project
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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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experience in conducting research; (c) have proficiency in SPSS and Microsoft Office software including Chinese word processing; (d) have experience in writing research papers and proposals; (e) have
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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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given to those with (i) experience in real-fluid thermodynamics and intermolecular potential modeling; (ii) knowledge of combustion chemistry, catalysis or energy-related chemical processes; and / or (iii
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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