88 phd-scholarship-in-computational-material-science 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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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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- “Development of high-performance two-dimensional material based ultrafast photonic and optoelectronic devices using aerosol jet printing method”. Qualifications Applicants for the Research Fellow post should
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Department of Electrical and Electronic Engineering Postdoctoral Fellow (Ref. 250813024) [Appointment period: three months] Duties The appointee will assist the project leader in the research
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Department of Applied Social Sciences Postdoctoral Fellow (Ref. 250807013) [Appointment period: twenty-four months initially, with possibility of further appointment] Duties The appointee will
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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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, 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
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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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and energy materials. Preference will be given to those with knowledge of computer programming, AI or machining learning. Applicants are invited to contact Prof. Jianguo Lin at telephone number 2766