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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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Science, Biomedical Sciences/Engineering, Electrical Engineering, Medical Physics, or related disciplines with a strong background in artificial intelligence and medical image analysis. Experience in deep learning
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positions in our clinical and research (academic, community and translational) programmes. Applicants should have (i) a PhD degree from the University of good QS World University Rankings, special in
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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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above in engineering, robotics, or a related discipline. (Appointee with PhD degree can be considered to the post Research Officer) Strong background in project coordination and laboratory management
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image data of ultrasonography, computed tomography, magnetic resonance imaging, using advanced AI and LLMs. Fine-tuning and prompt engineering for Large Language Models. Participate in the development and
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General Research Fund (GRF) grant for studying infectious airborne disease transmission in relation to urban and building-level airflow paths. Applicants should possess a PhD degree in Engineering, Computer
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image data of ultrasonography, computed tomography, magnetic resonance imaging, using advanced AI and LLMs. Fine-tuning and prompt engineering for Large Language Models. Participate in the development and
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in project management, ethics applications, and supervision of junior researchers. Requirements: A PhD degree in Social Sciences. Strong analytical skills and proficiency in statistical software and
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Ref.: 531572 Work type: Full-time Department: Department of Electrical and Electronic Engineering (14300) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff Research Assistant