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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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to: Developing advanced end-to-end systems for the enhancement, compression, storage, and display of CBCT and CT images acquired using low-radiation dose protocols, as well as MRI images obtained through fast
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developing innovative methods focused on enhancing the visual quality of Cone-Beam Computed Tomography (CBCT) and other medical imaging modalities, creating advanced compression techniques for efficient
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to contribute to a highly collaborative, international project developing open-source low-field MRI systems for neuroscience research; Have research experience in compressed sensing and/or multi-contrast image
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/id_offre/133212 Requirements Specific Requirements Le/la candidat(e) devra posséder : — Une solide formation en mathématiques appliquées, incluant le traitement du signal et/ou des images. — Une bonne
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of the identified structures via stereolithographic, 3D printing and textile techniques like tufting, machine-based embroidery techniques or non-interlaced 3D pre-forming. Development of advanced imaging and
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 1 month ago
methods focused on enhancing the visual quality of Cone-Beam Computed Tomography (CBCT) and other medical imaging modalities, creating advanced compression techniques for efficient storage, designing high
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
accompanying text about the artwork. To save your presentation file to send: File > “Compress Pictures”> Presentation (150 ppi) Save the PowerPoint presentation as a PDF. This allows us to see your images in
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CS Enterprise Imaging Full Time 86076BR Job Summary This position will work onsite several days per week in various San Francisco locations. Applies skills as a seasoned clinical applications
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research; Have research experience in compressed sensing and/or multi-contrast image reconstruction, and are keen to push the boundaries of what is possible with affordable imaging platforms. For informal