80 phd-phd-embedded-system-scholarship Fellowship research jobs at Hong Kong Polytechnic University
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should: (a) have a PhD degree in Biological Science, Medical Science or a related field and must have no more than five years of post-qualification experience at the time of application; (b) have
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methods for sparse optimization”. Qualifications Applicants for the Senior Research Fellow post should have a PhD degree, preferably in Mathematics with at least six years of postdoctoral research
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the research project - “White adipose tissue (fat) dysfunction in ageing and its related metabolic diseases: new insight and therapeutic intervention”. Qualifications Applicants should have: (a) a PhD degree
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: Optical-fiber-based artificial compound eyes for 3D vision”. Qualifications Applicants for the Postdoctoral Fellow post should have a (i) PhD degree in Physics, Materials or Engineering and must have no
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for the Postdoctoral Fellow post should have (i) a PhD degree in Physics, Materials or Engineering and must have no more than five years of post-qualification experience at the time of application; and (ii) at least
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”. Qualifications Applicants should: (a) have a PhD degree in Remote Sensing, Geomatics, GIS, Computer Science, Photogrammetry or a related field, and must have no more than five years of post-qualification
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- “Comprehensive sharing economy product strategies in the hospitality and tourism industry: Comparative study considering spatial and market characteristics”. Qualifications Applicants should have a doctoral degree
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for further information. Conditions of Service A highly competitive remuneration package will be offered. Consideration of applications will commence on 9 September 2025 until the position is filled. Apply Now
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preliminary research on the application of brain-computer interface technology in enhancing tourism experiences for families with ASD children”. Qualifications Applicants should have: (a) a doctoral degree
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health monitoring, preferably with a publication record in top-tier journals; and (c) be proficient in mainstream research frameworks for deep learning and computer vision. Applicants are invited