Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
working closely with multidisciplinary scholars and a research team focusing on healthy ageing and non-pharmacological intervention, and will be responsible for data management and analysis, preparation
-
will conduct advanced data analysis and prepare manuscript for the projects. He/She will also be expected to work independently on project management, proposal preparation, and the mentoring of junior
-
a Ph.D. degree in Health Science, Public Health or Geriatric Science, preferably with experience in digital health innovation, advanced data analytics, and big data management. They should have a
-
the ability to share knowledge, work efficiently, and perform under pressure both independently and within a multidisciplinary team. For more information about our research directions, please visit our lab
-
the Department of Medicine, School of Clinical Medicine (Ref.: 536885) We now invite applications for the captioned post. Duties and Responsibilities Lead advanced statistical analyses of clinical data Coordinate
-
: Collecting, cleaning, and analysing research data under supervision, ensuring accuracy, quality and integrity throughout the process. Preparing comprehensive technical reports detailing research methods
-
slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images
-
motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in bioinformatics, deep learning and/or biomedical image and clinical data analysis
-
Perform advanced level of data analysis (quantitative and qualitative) Advance knowledge based on the data and disseminate it through peer-review journals or other means Draft proposals, reports and
-
and Prevention Group of HKU (stroke.hku.hk) to assist in neuroimaging data acquisition and analysis, write-up of the results, as well as training of students Apply image analysis skills on clinical and