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section visibility With your passion for solving clinical mysteries and our comprehensive imaging capabilities and sophisticated technology, you can experience an exciting and rewarding imaging career
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visibility With your passion for solving clinical mysteries and our comprehensive imaging capabilities and sophisticated technology, you can experience an exciting and rewarding imaging career at UCLA Health
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The Biomedical and Astronomical Signal Processing (BASP ) laboratory at Heriot-Watt University Edinburgh (HWU ), headed by Professor Yves Wiaux, is recruiting a postdoctoral researcher in computational imaging
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of ultrasonic processing and materials characterisation. You will be specifically responsible for the testing, characterisation and critical evaluation of the as cast and prototype AM test pieces. Hence a
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sciences research across King’s and beyond. This unique partnership allows us to offer researchers access to the latest innovations in light microscopy & imaging technology. The Centre also serves as a
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necessary lead relevant meetings. To undertake any other duties relevant to the programme of research. Job Requirements: PhD degree in Computer Engineering, Computer Science, Electronics Engineering or
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technology refresh initiatives. Maintain compliance with institutional security policies and external standards (HIPAA, NIST 800-171, ISO 27001), especially for environments processing PHI or research subject
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behaviors, whole-brain calcium imaging using SPIM, and drug selection and administration to rescue altered behaviors. Identify and develop strategies to enhance data acquisition and processing efficiencies
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University of California, San Francisco | San Francisco, California | United States | about 11 hours ago
://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html Department Description The UCSF Health IT Enterprise Imaging IT team develops, implements, and manages the computer systems and networks needed to support more
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems