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analysis, and proficiency in statistical and computer modelling software (e.g. R, Python, Matlab, and C++) would be advantageous. The appointee will work with a research team to study the methodologies
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related disciplines or an equivalent qualification; (b) have a good command of both written and spoken English and Chinese; (c) have good computer literacy; (d) have strong research interests in
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of and skills in conducting qualitative and quantitative studies; (c) have knowledge of using Microsoft Office and statistical computer software, such as SPSS; (d) have a good command of both written
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community projects; (b) experience and/or publications in global health; (c) proficiency in SPSS and Microsoft Office software including Chinese word processing; (d) a good command of both written
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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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infectious disease data using statistical and/or mathematical approaches would be highly desirable. Experience in statistical analysis, and proficiency in statistical and computer modelling software (e.g. R
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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
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the project leader in the research project - “Advanced sensor array signal processing for sensing and communications”. Qualifications Applicants should have: (a) a master’s degree or an equivalent
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Responsibilities The appointee will join a multidisciplinary team led by the Principal Investigator to develop AI‐driven navigation systems in robotic implant surgery. The duties include but not limited
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for substantiation. Application Procedure (online application only) Please click "Apply Now" to submit your application. Personal data collected will be used for recruitment purposes only. We are an equal