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part of a large team lead drafting research publication and presentation. About you: A PhD in medical imaging, physics or engineering or closely related disciplines experience in digital image processing
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or Biomedical Engineering or a closely related field. Preferred Qualifications: PhD in medical applications of physical sciences and engineering. Experience in medical imaging, breast x-ray imaging, image
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efficiency and environmental sustainability. Your scientific research will focus on the development of machine/deep learning-based medical image analysis methods for computerised tomography scans (CT scans
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. You will carry out development of magnetic resonance spectroscopic imaging (MRSI) using a parallel transmit-enabled ultra-high field (7T) MRI. Specifically, you will develop and validate novel
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Development of image transformation methods and dedicated metrics documenting the level of robustness and fairness (RAF) of self-supervised learned visual features in the context of specific medical and
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l'Image pour la Santé). We are a multidisciplinary laboratory with a broad spectrum of skills in medical imaging and play a major role in the field of health technologies. It is renowned for its expertise
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Faculty of Health and Medical Sciences, University of Copenhagen We are looking for a highly motivated and dynamic researcher for a 2-year position to start at September 1st 2024, or after agreement
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School of Medicine Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes
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use cellular and animal models together with novel molecular imaging techniques to understand the molecular mechanisms underlying the diseases. Our goals are to identify novel biomarkers and medically
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processing techniques and aims to develop new methods. Background Ultrasound is widely used at hospitals for medical imaging and allows both 2D (well-known from fetal scans) and 3D images to be created, which