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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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frameworks (e.g., PyTorch, TensorFlow) and medical image processing is essential. Candidates should demonstrate a track record of peer-reviewed publications in the field of AI for medical imaging. Preference
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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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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
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Biological Sciences, preferably in ophthalmology or computer sciences or statistics or public sciences; (ii) proficiency in English; (iii) solid experience in ophthalmology and visual sciences research, deep
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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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) programmes. Applicants should have (i) a PhD degree from the University of good QS World University Rankings, special in Biological Sciences, preferably in ophthalmology or computer sciences or statistics
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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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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