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Technologies project “Real time digital twin assisted surgery” (EP/X033686/1)”. The Research Assistant will carry out research on surgical imaging processing. The Research Associate will disseminate project
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The Universidad de Las Palmas de Gran Canaria (ULPGC) invites applications for a Researcher position (ICP2 – Master's degree or equivalent, MECES 3) within the research line "Hyperspectral Image Processing and
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on research projects focusing on convolutional neural networks (CNNs) for image processing applications. This position offers an opportunity to gain practical coding experience and contribute to cutting-edge
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French National Institute for Health Research (INSERM) | Paris 15, le de France | France | 2 months ago
precision imaging at the nanometre scale and with sub-second resolution, compatible with complex systems. This approach will be applied in vitro to study the spatiotemporal organization of fundamental
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machine learning, deep learning, audio/image/video classification, attention mechanisms, zero/few shot learning, and evolutionary algorithms. The Research Associate should have proficient programming skills
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We use cookies which are necessary to make our site work. We may also use additional cookies to analyse, improve and personalise our content and your digital experience. For more information, see our Cookie Policy and the list of Google Ad-Tech Vendors . You may choose not to allow some types of...
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Post-Doctoral Position - Medical Image Processing - (240000Y9) Post-Doctoral Fellow Position in Medical Image Processing (Deep Learning for Trauma CT) The Trauma Radiology AI Lab (TRAIL) in
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, or Biophysics, with strong quantitative and analytical skills and proficiency in MATLAB and/or Python. Experience with preclinical MRI/fMRI/MRS, rodent models, image processing, functional connectivity, and
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cleaning, standardization, and quality assurance activities to support reproducible research. Image Processing & Annotation Preprocess ophthalmic images for machine learning applications through resizing
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CT imaging CT reconstruction and image-processing methods Material decomposition and quantitative spectral imaging Image segmentation, registration, and quantitative morphometry Machine learning and