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representative, unbiased, privacy-preserving, and scientifically valid for (premarket) regulatory purposes. In this PhD project, you will investigate when and how synthetic medical imaging data can be used as
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Full-Time Fixed-Term for 36 months This PhD aims to develop novel robotic monitoring and data processing methods to document changes in dynamic seafloor environments over large spatial scales
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to the applicant him/herself. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/ The applicant will be assessed according to the Ministerial Order no. 242 of 13 March
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 36 minutes ago
technologies, and provides an immense base of expertise, equipment, and training opportunities. The resources of the UNC Biomedical Research Imaging Center, the UNC School of Pharmacy, the Lineberger
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. Criteria Essential or desirable Stage(s) assessed at A PhD (or near completion/equivalent experience) in Physics, Engineering, Applied Mathematics, Computational Biomedical Imaging, or a related highly
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Within the Faculty of Life Sciences & Medicine (FoLSM), the School of Biomedical Engineering and Imaging Sciences (https://www.kcl.ac.uk/bmeis ) is a cutting-edge research and teaching School dedicated
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the genetic material, and how it interacts with various kinds of micro-organisms. Using this knowledge, we try to elucidate the causes of diseases, and find new ways to diagnose and treat them. The Institute is
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-physiology Information about the Indiana University School of Medicine is available at: https://medicine.iu.edu Basic Qualifications PhD, MD/PhD, or equivalent degree in musculoskeletal biology, neuroscience
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), the School of Biomedical Engineering and Imaging Sciences (https://www.kcl.ac.uk/bmeis ) is a cutting-edge research and teaching School dedicated to development, translation and clinical application within
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to the processing and analysis of medical images (Medical Imaging). The research areas also focus on the integration, processing and modelling of complex biomedical data (clinical data, omics data, signals