10 image-processing Fellowship positions at Hong Kong Polytechnic University in Hong Kong
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functional magnetic resonance imaging, non-invasive brain stimulation and vision science; and (c) experience in visual psychophysics, EEG and fMRI. Preference will be given to those who have experience in
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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
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learning in creativity education; (b) develop intervention strategies, such as intelligent task planning and adaptive load adjustment, to enhance learner engagement and critical thinking; (c) prototype
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ready for revenge travel: The new expectation, perception and operation in hospitality and tourism industry”. Qualifications Applicants should have: (a) a doctoral degree (PhD preferred
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(Full-time/Part-time) (two posts) [Appointment period: each for twenty-four to thirty-six months] Duties The appointees will assist the project leader in the research project - “Materials processing
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research using methods such as sensing technique, 3D printing, human-computer interaction, simulation, and/or machine learning to address challenges in machinery motion planning and construction safety
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Sensing, GISci, Computer Science, Statistics, Data Science, Computer Vision, Machine Learning, Geography, Urban Planning, Sustainability, Urban Science, Geoscience, Environmental Science, Ecology
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or equivalent qualifications and experience; (b) strong background in materials processing and modelling technologies, and research project management; and (c) the capability to communicate with industrial
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projects on time with minimum supervision. Preference will be given to those with research experience in machines design, and development of computer programmes for numerical computation of electromagnetic