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Field
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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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This role will be to develop and apply image processing algorithms and software, to process two-timepoint (longitudinal) data from UK Biobank brain imaging. This will involve development of image
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Position Overview School / Campus / College: School of Medicine Organization: Radiology Title: Postdoctoral Scholar – Department of Radiology, Cancer and Tumor Imaging, OncoRad Lab Position Details
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imaging such as live cell imaging, total internal reflection fluorescence (TIRF) microscopy, FLIM, STED, lattice lightsheet microscopy, fluorescence correlation spectroscopy (FCS), image processing and
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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
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on their morphology. A step to optimise the image processing parameters, which will help to obtain average 2D classes, will then be necessary. Subsequently, it will be possible to verify the quality of the 2D classes