10 wireless-sensor-networks-postdoc Fellowship positions at Hong Kong Polytechnic University
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project - “Smart and reconfigurable 6G wireless networks aided by intelligent reflecting surface”. Qualifications Applicants should have a doctoral degree in Wireless Communications or Signal Processing
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Associate (several posts) [Appointment period: each for six to twenty-four months] Duties The appointees will assist the project leader in the research project – “Development of a high precision wireless
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, LiDAR and photonic sensors”. Qualifications For the post of Senior Research Fellow / Senior Project Fellow, applicants should have a doctoral degree plus at least six years of postdoctoral research
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appointment] Duties The appointee will assist the project leader in the research project - “Modelling welfare-enhancing airline cooperation at multi-airport systems- empirical and computational network analysis
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, applicants should also have: (a) strong background in robotics, localization, mapping, and multi-modal sensor fusion; (b) proficiency in programming languages such as Python and C++; (c) demonstrated
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, mapping, and multi-modal sensor fusion; (d) proficiency in programming languages such as Python and C++; (e) demonstrated ability to conduct independent research and contribute to collaborative
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an honours degree or an equivalent qualification. For both posts, applicants should also have: (a) strong background in robotics, localization, mapping, and multi-modal sensor fusion; (b
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commitment to advancing knowledge in the field. The appointee will also engage with our global network of researchers through our participation in an international consortium on brain aging. By collaborating
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centre for design and net-shape forming of micro-/meso-scaled surface functional structures”. Qualifications For the post of Research Fellow, applicants should have a doctoral degree plus at least three
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or an equivalent qualification and must have no more than five years of post-qualification experience at the time of application; (b) have hands-on experience with building neural networks and gradient boosting