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anomaly detection using advanced and optimized methods. • Literature review (image processing, deep learning, vision-language models, diffusion models, etc.). • Generative AI for creating reliable models
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The Department of Electrical and Computer Engineering at the University of Virginia is accepting applications for research scientist position for machine learning methods for magnetic resonance
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Reconstruction of atomic resolution images from sparse datasets of radiation sensitive materials in scanning transmission electron microscopy School of Electrical and Electronic Engineering PhD
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RAP opportunity at National Institute of Standards and Technology NIST Enabling Science from Big Microscopy Image Data Location Information Technology Laboratory, Software and Systems Division
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About Us The School of Biomedical Engineering & Imaging Sciences has attracted multi-million pound research funding and collaborates with other universities and Faculties within KCL, the NHS
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | 4 days ago
scanner to obtain images for use by physicians in the diagnosis and treatment of pathologies. Transfers, positions, and instructs patients regarding the procedure. Selects appropriate imaging techniques
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inflammation. This project involves nucleic acid chemistry, targeted contrast-agent engineering, in vitro validation, and in vivo imaging studies using clinical and research-grade ultrasound systems. Key
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procedures using sophisticated radiation-detecting instrumentation (including SPECT and PET), accomplishes computer processing and image enhancement, and provides images, data analysis, and patient information
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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, pixelated detection system. Taking full advantage of this cutting edge technology will require the development of new methods for collecting, processing, and interpreting the large amounts of data we now have