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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
comprehensive neurovascular research program by contributing to imaging and clinical data acquisition, anatomic and procedural labeling, and support other aspects in the design and execution of translational and
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
Postdoctoral Scholar in Radiology-Brain Tumor Imaging Lab Job #JPF11059 Radiological Sciences / David Geffen School Of Medicine / UCLA Position overview Salary range: $72,000-$82,000 depending on prior
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postdoctoral researcher to contribute to an NIH-funded project focused on developing innovative techniques and hardware for ultrahigh-field magnetic resonance imaging, with an emphasis on ultrahigh-resolution
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for self-driving and/or human-in-the-loop experiments; (3) computer vision for extracting complex patterns, structure, and meaning from images and/or volumes; and (4) new mathematics and algorithms leading
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national Scientific Society meetings. Minimum Education and/or Work Experience M.D. or PhD Required Qualifications M.D. or PhD Required Certificates/Credentials/Licenses N/A Computer Skills General office
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Requisition Id 17066 Overview: The Computational Hydrology and Atmospheric Science (CHAS) Group within the Computational Sciences and Engineering Division (CSED) at Oak Ridge National Laboratory
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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for high-dimensional dependent data, and data sketching approaches for massive data. Opportunities to Contribute: Develop statistical/machine learning methodology for multi-modal imaging data integration
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to apply. The successful candidate will contribute to the development of next-generation AI methods for geophysical imaging and monitoring, advancing both fundamental Earth science and engineering