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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
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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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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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, 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
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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
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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
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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
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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