42 phd-position-in-image-processing 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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, data collection, and/or data processing and analysis or strong programming skills with the ability to assist in system and software development. Applicants are invited to contact Prof. Stephen J. Wang
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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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”. 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