35 computational-biology-physics-training Fellowship positions at Hong Kong Polytechnic University
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Department of Health Technology and Informatics Postdoctoral Fellow (Ref. 250703002) [Appointment period: twelve to twenty-four months] Duties The appointee will assist the project leader in
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The appointees will assist the project leader in the research project - “Research centre for non-invasive brain computer interface”. Qualifications For the post of Postdoctoral Fellow, applicants should have a
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doctoral degree or an equivalent qualification in Biomedical Science, Bioengineering, Biology, Biomedical Engineering, Materials Science, Electronic Engineering or Computing with no more than 5 years of post
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multifunctional wearable sensing devices and human-computer interaction systems; (d) be able to fabricate multi-material and multi-functional electrochromic and electroluminescent fibers for constructing fiber
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Department of Land Surveying and Geo-Informatics Postdoctoral Fellow / Research Associate / Research Assistant (Ref. 250603024) (1) Postdoctoral Fellow / Research Associate (two posts) (2
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-modal fusion techniques for localization and mapping; (b) develop and implement algorithms for autonomous robots; (c) design and execute experiments to validate and refine algorithms and systems; (d
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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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to : (a) develop a MiC data platform of reusable transitional housing modules through case-based scenario analysis, stakeholder interviews and iterative prototyping; (b) conduct interdisciplinary
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Department of Land Surveying and Geo-Informatics Postdoctoral Fellow (three posts) (Ref. 250625011) [Appointment period: twelve to thirty-six months] Duties The appointees will assist the project
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, Operations Research, Computer Science or a related discipline and must have no more than five years of post-qualification experience at the time of application; and (b) experiences in optimization modeling