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Bioengineering or Biomedical Engineering, with good experience in biological imaging and image processing. Those with basic knowledge of imaging system development would have an advantage. The appointee should be
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Ref.: 532107 Work type: Full-time Department: Department of Surgery, School of Clinical Medicine (21700) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited
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processing magnetic resonance imaging (MRI), such as arterial spin labeling and diffusion tractography using programming scripts, such as Python and C++ Self-driven, motivated, and creative in designing image
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to better understand, diagnose and treat diseases with particular interests in cancer and neurodegenerative diseases. We are a highly collaborative and multidisciplinary lab eager to create an impact on
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experimental phonetics. Applicants should have completed a Ph.D. degree in relevant fields (acoustic phonetics, digital signal processing, computer science) by the time of appointment, and preferably previous
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vulnerable groups to address digital inequality. He / She will work closely with the PI and the project team to: Contribute to all aspects of research process, including study design, instrument development
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to digital competencies or educational technologies would be a strong advantage. The ability to work on a tight schedule to meet project deadlines is essential to succeed in this role. Appointees should have a
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. Preference will be given to those with experience in health service and/or digital health research. They should also have an excellent command of spoken and written English and Chinese (including Cantonese
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-related data, including data from electronic health records, medical images, and sensor data from wearable devices Responsible for writing up results, training and supervising students and junior staff
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psychiatric interviews, analysing longitudinal cohort datasets, and having peer-reviewed publications in the field of digital phenotyping/early psychosis are preferred. Proficiency in at least one statistical