16 image-computer-engineering "https:" "Simons Foundation" Fellowship positions at Johns Hopkins University
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working at Johns Hopkins University More Jobs from This Employer https://main.hercjobs.org/jobs/21901504/advanced-specialty-training-program-in-astp-advanced-fellowship Return to Search Results
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working at Johns Hopkins University More Jobs from This Employer https://main.hercjobs.org/jobs/21868156/advanced-specialty-training-program-in-surgical-pathology-astp-advanced-fellowship Return to Search
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applicant will have a PhD in vision science, computer science, or a related field. Experience in cloud-based and mobile image processing for rapid object and face recognition and in use of head-mounted eye
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. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science
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: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance
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documentation have been archived or otherwise transmitted to the larger organization Qualifications § A doctoral degree in electrical engineering, computer science, or other related fields is preferred but not
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includes a new building, 30 research engineers, and extensive computational resources that will establish Johns Hopkins as one of the largest and leading engineering schools with a top Al research program
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Medical - Clinical Internal Number: A-175748-11 General Description Our acute care occupational therapy program aims to develop occupational therapists who provide innovative and evidence-based care across
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Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c) Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP
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Distinguished Professor Domenico Giannone. Professor Giannone's research lies at the intersection of economics, applied statistics, and data science, with a focus on advancing empirical and computational methods