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compatible with high-speed imaging over long durations, (2) optimize system control and develop signal processing tools, and (3) apply it to imaging challenges involving organoids and living biological tissues
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Certification preferred. Experience: Two years of Radiology imaging experience, cross sectional imaging and/or computer assisted imaging preferred. Knowledge/Special Skills: For staff holding an ARRT license (not
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: Establish and maintain mouse tumor models (e.g., injections, minor surgery); dose animals via multiple routes; measure tumors by calipers; perform non-invasive imaging; ensure welfare refinements and
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, and MR spectroscopic imaging using machine learning; candidates with experience in these areas are encouraged to apply. PREFERRED QUALIFICATIONS: APPLICATION PROCEDURE: Apply online at https
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experts. You will design imaging sequences and develop beamforming and signal processing algorithms to achieve ultrafast frame rates and detailed visualization of cerebral vasculature. You will work closely
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and Prevention Group of HKU (stroke.hku.hk) to assist in neuroimaging data acquisition and analysis, write-up of the results, as well as training of students Apply image analysis skills on clinical and
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sequences that support specialized applications such as functional MRI and diffusion tensor imaging. An intuitive user-friendly interface simplifies operation and offers quieter operation and comfortable
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, original forms of identification for employment verification via the Federal I-9 employment verification process. A list of acceptable documents can be seen here: https://www.uscis.gov/i-9-central/form-i-9
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administrative support to the department Job Responsibilities Ensures all patient data such as imaging reports, immunization reports, or lab results are sent promptly to referring or specialist physicians and
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University of California, San Francisco | San Francisco, California | United States | about 10 hours ago
Imaging IT team architects, implements, and manages the computer systems and networks needed to support more than 700,000 imaging studies annually. Our team manages the full stack from network