11 biomedical-signal-processing Fellowship research jobs at Hong Kong Polytechnic University
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Department of Biomedical Engineering Postdoctoral Fellow (two posts) (Ref. 250613007) [Appointment period: twenty-four months] Duties The appointees will assist the project leader in the research
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Department of Biomedical Engineering Postdoctoral Fellow / Research Associate (Ref. 250321001) (1) Postdoctoral Fellow (two posts) [Appointment period: each for twenty-four months] (2) Research
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Department of Biomedical Engineering Postdoctoral Fellow / Research Associate / Research Assistant (two posts) (Ref. 250516001) [Appointment period: each for twelve to twenty-four months] Duties
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- “Fiber route estimation for optical networks in metropolitan areas based on DAS signal analysis”. Qualifications Applicants should have a doctoral degree plus at least three years of postdoctoral research
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in Biomedical Science or an equivalent qualification and must have no more than five years of post-qualification experience at the time of application; and (b) a strong background in molecular
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”. Qualifications For the post of Postdoctoral Fellow, applicants should have a doctoral degree in Electrical, Electronic, Optical or Biomedical Engineering or an engineering-related discipline or an equivalent
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) strong background in quantitative methods, statistics, computer science, geospatial data analysis and modeling; (b) experience in AI and geospatial computer version; (c) advanced skills in scientific
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projects on-time with minimum supervision. Preference will be given to those with research experience in machines designs and development of computer programmes for numerical computation of electromagnetic
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Assistant, applicants should have an honours degree or an equivalent qualification. For all posts, applicants should have strong background in materials processing technologies, especially for light alloys
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) optimise BIM software performance and address challenges, including model processing, data storage, and rendering efficiency; and (e) collaborate with AI algorithm teams to understand the business