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including the development, training, and testing of computer vision and machine learning tools for AI-automated anatomical landmark detection and segmentation of clinical images. Building upon previous work
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HCI and cybersecurity, to cancer research tools and methods for numerical analysis and machine learning. The research work takes place in a multidisciplinary team with a focus on image processing with
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in this role? The Image Guided Surgery Technician III (IGS Tech III) is under the supervision of the Image Guided Surgery Lead. The Image Guided Technician III performs at an advanced level and may
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computer vision method for medical image analysis principally in oncology or pathology, with a possible focus on generative AI, explainability, multi-modality. Candidate’s profile A good Bachelors degree
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to demonstrate expertise in use, processing, manipulation and compression of raw camera data. Key duties for the role are to conduct in depth research into AI based automotive perception and relationship 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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-field imaging of dynamic processes" "Multi-scale X-ray speckle-based imaging" "Spectral X-ray speckle-based imaging" "Single-shot multi-projection X-ray phase-contrast imaging" "X-ray virtual histology
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national meetings. Quality Assurance and Protocol Development: Gain experience in quality assurance processes and protocol development to ensure accurate imaging results and effective clinical utilization
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modalities based on diagnosis. Knowledgeable in computer software for all imaging modalities. Independently performs standardized imaging protocols based on diagnosis. Competent in stereopsis technique
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in the future without them changing during observation. This project will use extensive mathematical processing of large sparse datasets, both simulated and experimental, to reconstruct image details