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Field
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learning algorithms to support research in IDMxS. Key Responsibilites: Apply/ improve/ develop machine learning algorithms to process (e.g., classify, predict) data/ images collected by IDMxS. Help supervise
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with archival best practices, including those related to research, processing, and/or digitization; basic familiarity with current approaches to digitization, image manipulation, file management, and/or
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models of image processing; (iii) demonstrate experience in academy-industry projects; (iv) interest in publishing high-quality journal papers in the field; (v) demonstrated leadership in research projects
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with archival best practices, including those related to research, processing, and/or digitization; basic familiarity with current approaches to digitization, image manipulation, file management, and/or
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] . Technical skills The profile requires solid technical skills relating to the automatic processing of digital documents containing both text and images. In particular, the candidate must be able to demonstrate
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for the capture, processing, and dissemination of 3D digital twins of cultural artifacts using cutting-edge imaging and rendering technologies.
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, Training or work experience in medical imaging, digital image processing, computer vision, pattern recognition, artificial intelligence, machine learning, deep neural networks, and statistics, Hands
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-processing and analysis of cardiac imaging studies. Close collaboration with technical researchers within the cardiovascular imaging unit. Where to apply Website https://jobs.vhir.org/jobs/7511897-clinical
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with archival best practices, including those related to research, processing, and/or digitization; basic familiarity with current approaches to digitization, image manipulation, file management, and/or
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), microscopy (including digital scanning and archiving), image analysis using Photoshop, Sigma Scan, Excel, etc., and data analysis and compilation. Performs other related duties from time to time as required