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W3 Endowed Professorship for “Hemodynamic Modeling in Atherosclerosis- (f/m/d) KSB Foundation W3 end
and teaching, the professorship will represent functional cardiovascular imaging with a focus on hemodynamic modeling and act as a bridge between basic research, medical technology development, and
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The Department of Electrical and Computer Engineering at the University of Virginia is accepting applications for research scientist position for machine learning methods for magnetic resonance
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interpretation, and the dissemination of research outcomes through scientific publications and project reports. PhD in computer science, artificial intelligence, computer vision, image processing, remote sensing
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processing of biological and histological samples and image acquisition; Acquisition and analysis of images, e.g., optical coherence tomography (OCT), ensuring data quality; Support for data processing and
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The VCC center at KAUST is looking for research scientists in Prof. Wonka's research group. The topics of research are computer vision, computer graphics, and deep learning. A suitable candidate
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Research Assistant 1 position is based in Prof. Jeremy Cooperstock’s research lab in the department of Electrical and Computer Engineering. Job Summary We are seeking a part-time Research Assistant to take
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protein detection and imaging techniques. The post holder could be a postdoctoral scientist with a background in cell biology and molecular biology. Ideally with proven work experience at senior level in
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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Computer Engineering. Expertise in computer vision algorithms and image processing techniques (such as object detection, segmentation, and feature extraction). Proficiency in deep learning frameworks such as