41 phd-position-in-image-processing-"Naturalis" Fellowship positions at Hong Kong Polytechnic University
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nonlinear charge and spin transport effects”. Qualifications Applicants should have a PhD degree in Physics, Materials or Engineering or equivalent qualifications plus at least three years of postdoctoral
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- “Environment and conservation fund designing a prototype for simultaneous solar desalination and hydrogen production”. Qualifications Applicants for the Research Fellow post should have a doctoral degree plus at
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- “Research on key issues of array wide-band detectors and imaging chips”. Qualifications Applicants for the Research Fellow post should have a doctoral degree plus at least three years of postdoctoral research
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the Head of Unit or his delegates. Qualifications Applicants should: (a) have a PhD in the fields of sociology of labor, work and employment, social history, gender and/or political economy, with
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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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”. 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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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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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