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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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record of publications in relevant fields. Have proficiency in data processing and statistical analysis, with experience in programming languages/software such as MATLAB, Python, R, Stata, as well as GIS
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the field 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
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the Department of Clinical Oncology, School of Clinical Medicine (Ref.: 532723) Applicants should process a Ph.D. degree preferably in Cancer Genetics, Cancer Biology, Biological and Biomedical Sciences or a
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quantitative research methods. Demonstrate strong research capability and a track record of publications in relevant fields. Have proficiency in data processing and statistical analysis, with experience in
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are in the process of completing a Ph.D. degree will also be considered. The appointee will work with Prof. Zi Yang Meng to conduct research on computational and theoretical condensed matter physics. Areas
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transport theory, and mesoscopic systems are preferred. Applicants who are in the process of completing a Ph.D. degree will also be considered. A highly competitive salary commensurate with qualifications and
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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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record of publishing in top international journals is highly desirable. Preference will be given to those with experience working on projects related to bioinformatis, animal surgery, or artificial
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and conducting cost-effectiveness analyses. Applicants must have a track record in securing competitive grants as principal investigators, managing IRB processes, patient recruitment, and media