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the Job related to staff position within a Research Infrastructure? No Offer Description Ref.: 537011 Work type: Full-time Department: Department of Electrical and Computer Engineering (14300
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Ref.: 537011 Work type: Full-time Department: Department of Electrical and Computer Engineering (14300) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff Applications
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public health would be highly desirable. Knowledge and skills in mathematics, biostatistics, advanced statistical techniques in clinical research, database management, and machine learning/artificial
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statistical techniques in clinical research, database management, and machine learning/artificial intelligence (AI) would be an advantage. The appointee will work with the Principal Investigator on various
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image analysis packages such as Freesurfer, FSL, SPM, or 3DSlicer, or using machine learning or artificial intelligence models would be advantageous What We Offer The appointee would be exposed to ample
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self-driven, highly motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in AI deep learning model development on histology whole
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. The position offers an excellent opportunity for academic publications, building research partnerships with international researchers and local mental health service providers, and learning the implementation
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learning. He/she will be responsible for literature review, preparation of assessment materials, liaise with external parties, coordination of research activities, conducting assessments with children and
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visualisation skills, the ability to present abstract concepts in an accessible way to all organisational levels and to acquire new statistical techniques by self-learning. They should be responsible, mature
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of public health, biostatistics, pharmacoepidemiology and epidemiological studies. They must be proficient in data analysis using statistical or computer modelling software, such as Stata or R. They should