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/ET, MRI imaging, Computational biology, AI/ML Faculty recruitment is focused on scientific leaders interested in working together towards this very ambitious scientific goal while also promoting
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Assistant Research Professor (Research Track), Radiology and Imaging Sciences Posting Number req24876 Department Radiology & Imaging Sci Dept Department Website Link https://radiology.medicine.arizona.edu
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Bold. Position Description: Support research projects focused on virtual imaging trials, computational modeling, and imaging technology evaluation. Manage, curate, and analyze experimental and simulation
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cooperation partners in their research projects with state-of-the-art light and electron microscopes (https://www.leibniz-fmp.de/cellular-imaging ). We work with proteins, cell cultures, and model organisms
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exams in accordance with departmental procedures, selects proper technical factors, reviews and evaluates Ultrasound images to determine that they are satisfactory for diagnostic purposes and assesses
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computer hardware communication bus protocols: USB, I2C, I2S, CSI, Ethernet, SPI, PCIe, HDMI, CAN, serial comms, etc Strong communication - You can explain complex physical behavior clearly, write structured
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similar educational organizations. Position Responsibilities & Essential Functions Program Responsibilities: Program Delivery, Evaluation and Applied Research - 80% Teach existing 4-H animal science
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technology available. Our board-certified radiologists have specialty training in cardiac imaging, neuroimaging, musculoskeletal, interventional radiology, nuclear medicine and body and breast imaging. Along
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
Data Science, Computer Science, Information Systems, Information Science, Business Analytics, Business Administration, Economics, Public Health, or related field, or equivalent combination of education
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to explore include mono-chromatic and multi-chromatic illumination, structured illumination, and telecentric illumination distortions. Computer based image analysis approaches will be developed, including