-
Professor (RAP) / Post-doctoral Fellow (PDF) in AI for Medical Imaging in the Department of Chemistry (Ref.:531782), to commence as soon as possible, on a 1 to 3-year temporary basis for PDF, or on a 1-year
-
scenario, with four specific studies: Develop knowledge representation from multi-modal datasets (tabular EHR data, texts, images) of patients with chronic hepatitis B infection using advanced AI and Large
-
, psychology or a related discipline. They should be familiar with programming languages such as R or Python and have a good command of written and spoken English. Those with expertise in MRI imaging analysis
-
. Applicants should possess a PhD in biomedical engineering, biological science, or medical science, or equivalent. The appointee will work on developing three-dimensional tissue imaging. Proficiency in
-
learning in imaging analysis, clinical trials, epidemiology, genetic study, big data analysis, R language or related statistic software, or/and Python software, or programming skills of deep learning tools
-
or public sciences; (ii) proficiency in English; (iii) solid experience in ophthalmology and visual sciences research, deep learning in imaging analysis, clinical trials, epidemiology, genetic study, big data
-
scenario, with four specific studies: Develop knowledge representation from multi-modal datasets (tabular EHR data, texts, images) of patients with chronic hepatitis B infection using advanced AI and Large
-
. The appointee will work on developing three-dimensional tissue imaging. Proficiency in molecular biology techniques (RNA extraction and sequencing prep, Western blot, molecular cloning, protein expression and