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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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in Anatomy, Physiology, Pathology, Radiography (Medical Imaging or Nuclear Medicine) or other closely related fields; (b) have a strong commitment to excellence in teaching and advising; (c) have
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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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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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given to those with research experience in drone delivery optimization, machine learning, reinforcement learning and operation research. Applicants are invited to contact Prof. Siyuan Feng at telephone
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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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multiple projects; (e) quality control and continuous learning including review of annotated data, participation in quality control processes, sharing experiences, and assistance in training new
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& Tourism Management, and Doctor of Philosophy). Through Hotel ICON (www.hotel-icon.com ), the School’s groundbreaking teaching and research hotel and a vital aspect of its paradigm-shifting approach
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construction and testing processes of automated agents to continuously enhance system intelligence; (c) utilise the in-house Agent platform to automate complex business processes and continuously optimise
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Legal Compliance Researchers and be required to: (a) design and improve AI legal business SOPs covering financial field processes and compliance standards; (b) assist in establishing classified