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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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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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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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processing magnetic resonance imaging (MRI), such as arterial spin labeling and diffusion tractography using programming scripts, such as Python and C++ Self-driven, motivated, and creative in designing image
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experimental phonetics. Applicants should have completed a Ph.D. degree in relevant fields (acoustic phonetics, digital signal processing, computer science) by the time of appointment, and preferably previous
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-related 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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for RAP, or a one- to three-year temporary basis for PDF, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a PhD in epidemiology
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PhD degree may be considered for appointment as Postdoctoral Fellow. Those with other higher degrees and substantial research experience in relevant areas may be considered for appointment as Senior
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of Mechanical Engineering (Ref.: 532104) We now invite applications for the captioned post. Duties and Responsibilities Driving research activities towards defined goals in specified timeline Processing in
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. Applicants should possess a PhD degree in Biomedical Sciences, Biochemistry, Chemistry or a related discipline. They should have strong background and research experience in at least one of the following areas