12 scientific-visualization Fellowship research jobs at Hong Kong Polytechnic University
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equivalent qualification with one to two years of advanced research experience in generative AI, visual computing and deep learning, and must have no more than five years of post-qualification experience
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in interactive product design, user interface/user experience design and visual design; (b) working knowledge in physical computing and/or coding/scripting; (c) an excellent command of written
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with cooling aerogel skins for year-round decarbonization”. Qualifications Applicants for the Postdoctoral Fellow post should have a doctoral degree in Material Science and Engineering, Fiber and
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Department of Data Science and Artificial Intelligence Postdoctoral Fellow (Ref. 260417012) [Appointment period: twelve months] Duties The appointee will assist the project leader in the research
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a doctoral degree in Materials Engineering, Materials Science or quantitative related discipline and must have no more than five years of post-qualification experience at the time of application
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Applicants should have a doctoral degree or an equivalent qualification in Biomedical Science, Bioengineering, Biomedical Engineering, Electronic Engineering, Computing, Materials Science, or related areas and
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Science, Engineering or a related discipline or an equivalent qualification. For all posts, applicants should have: (a) demonstrated expertise in foundation models, generative AI, multimodal learning
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for the Senior Research Fellow post should have a PhD degree in Computer Science, Artificial Intelligence, Data Science, Digital Economy or a related field plus at least six years of postdoctoral research
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Department of Language Science and Technology Part-time Postdoctoral Fellow (Ref. 260226003) [Appointment period: twelve months] Duties The appointee will assist the project leader in the research
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the research project - “Large language models for computational social science and FinTech applications”. He/She will be required to: (a) study and investigate the fundamental problem for identifying