14 medical-image-processing Postdoctoral positions at University of Southern California
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) in medical imaging is encouraged and a definite plus. The annual base salary range for this position is $62,400.00 - $70,000. When extending an offer of employment, the University of Southern
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: Ph.D. in Electrical Engineering, Applied Mathematics, Biomedical Engineering, Mechanical Engineering or related fields. Preferred Experience: Experience in MRI and post-imaging processing Preferred Field
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/ ) at the Keck School of Medicine. The research project will involve the use of in vivo electrophysiology, acoustical measurements, and optical imaging techniques (Optical Coherence Tomography) to assess hearing
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government, nonprofits, industry and academia, including the University of Southern California. The application process is highly competitive and will emphasize research potential. This position will serve as
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The USC Mark and Mary Stevens Neuroimaging and Informatics Institute and Laboratory of Neuro Imaging (INI, www.ini.usc.edu ) are world leaders in the development of advanced computational and
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, information processing, computing, cybersecurity, and communications technologies. ISI’s 400 faculty, professional staff and graduate students carry out extraordinary information sciences research at three
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government, nonprofits, industry and academia, including the University of Southern California. The application process is highly competitive and will emphasize research potential. Postdoctoral Scholars have
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Computer Engineering within the USC Viterbi School of Engineering. The ideal candidate will have an extensive background in one or more of the following areas: Information theory, structured statistics
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, information processing, computing, cybersecurity, and communications technologies. ISI’s 400 faculty, professional staff and graduate students carry out extraordinary information sciences research at three
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epigenetics in the etiology of cancer and other chronic diseases. We look for a highly motivated and competitive postdoc with a detailed understanding and knowledge of genomic and epigenomic data processing and