32 phd-position-in-image-processing Fellowship research jobs at Hong Kong Polytechnic University
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-quality papers in top journals and conferences. The appointees will be required to: (a) develop novel AI and XR algorithms/software for medical image analysis and computer-assisted surgery tasks; (b
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supervise data collection and analysis; (c) assist in liaising with collaborators and managing the project procedure; and (d) perform any other duties as assigned by the project leader or her delegates
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and market competition”. Qualifications Applicants should have a PhD degree in Financial Mathematics or Financial Engineering and basic knowledge in Accounting and Python with at least three years of
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using deep-learning-based spatial-acoustic imaging”. Qualifications Applicants for the Postdoctoral Fellow post should have a doctoral degree or an equivalent qualification and must have no more than five
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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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”. 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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) through advanced computer vision and LVLM integration; (b) overcome technical challenges: innovate solutions for large-scale small-object detection, dynamic lighting adaptation, and edge-computing
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implementation; b) monitor the project implementation details; c) develop control algorithms and digital twin models; d) guide prototype development and laboratory testing; e) analyse test data and
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prototype development and laboratory testing; (e) analyse test data and iterate designs; (f) publish top-tier academic papers; and (g) perform any other duties as assigned by the project leader
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of the above-mentioned disciplines. For both posts, applicants should have research experience in either in vivo/in vitro animal studies, Bio-FET, nanomaterials, medical imaging or AI. Preference will be given