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that combine deep learning, computer vision, and bioinformatics to extract actionable insights from complex, multi-modal data, including medical imaging, genomics, and clinical records. A central theme of our
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research team focused on advancing cancer care through cutting-edge computational and AI technologies. We develop innovative approaches that combine deep learning, computer vision, and bioinformatics
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Description Post-Doctoral Fellow Position in Medical Image Processing (Deep Learning for Trauma CT) The Trauma Radiology AI Lab (TRAIL) in the Department of Radiology & Nuclear Medicine at the University
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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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About us: We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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in image processing, quantitative analysis, and biological interpretation Proficiency in AI/machine learning tools for image segmentation, transformation, registration, or tracking Solid mathematical
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award, highlighting its commitment to promoting women in Science, Engineering and Technology. Fluid mechanics, microfluidics, porous media, non-Newtonian fluids, image processing
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processing and image reconstruction. Orange County is world-renowned for its natural beauty, perfect year round climate, gorgeous locales on the Pacific Ocean and incomparable recreational opportunities. Great
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- QC images and re-scan as necessary - Download images - Upload images to HiPerGator - Scan Pathology notes - Upload Pathology notes to HiPerGator - Input Pathology notes to REDCap Clinical data input
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Job Description Apply now Job Title: Postdoctoral Associate- Biostatistics and Mass Spectrometry Division: Surgery Work Arrangement: Onsite only Location: Houston, TX Salary Range: Hiring up