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project - “Deep learning-based approach for process parameter optimization of SiC wafer under limited data”. He/She will carry out research in the areas of machine learning and data science, and also be
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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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computer literacy including MS Word, Excel, PowerPoint and Chinese word processing; (d) have good interpersonal, communication and task management skills; (e) be self-motivated, well-organised, detail
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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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: 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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”. 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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Chinese; (c) have good teamwork and interpersonal skills; (d) have experience in psycholinguistic methodologies for data collection and analysis; and (e) be proficient in computer programming with
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- “Monitoring, diagnosis, and prognosis for renewable energy system under complex operation conditions”. Qualifications Applicants should have: (a) an honours degree or an equivalent qualification; and (b
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equipments such as EDX, XRD, TEM, spectrum meter, etc. to measure the parameters of processed materials and test the performance of the fabricated devices; (d) collect data, analyse and interpret test