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of Radiology serves the broader community by contributing to the understanding of health and disease through our diversity, equity and inclusion initiatives, imaging and imaging technology-related clinical and
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package for this position may be discussed during the hiring process. Why Stanford is for You: Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ
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access to information and resources. Essential Duties and Responsibilities include the following. Other duties may be assigned. 1. Work with the Associate Vice President of Technology in developing
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discovering new answers. Candidates will independently search the published literature and available code to develop a portfolio of novel computational tools for processing multi-modal imaging data
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State University of New York University at Albany | Albany, New York | United States | about 10 hours ago
, AI, and quantum information processing. Requirements: Minimum Qualifications: A terminal doctoral degree (PhD or equivalent) in physics, computer engineering, or related field from a college or
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postdoctoral researcher to join our dynamic animal science and artificial intelligence team. The candidate will develop novel algorithms that advance the use of computer vision in precision livestock farming
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used to screen applications prior to consideration for interview. Good computer skills and familiarity with Mac OS and Windows. Ability to readily learn and use new technology and software. Ability
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Summary Center for Excellence in Engineering and Diversity (CEED) at the UCLA Samueli School of Engineering champions the academic and professional development of a community of engineering and computer
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The University of Nevada, Reno (UNR) appreciates your interest in employment at our growing institution. We want your application process to go smoothly and quickly. Final applications must be
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experience in scientific computing and software development; familiarity with C++ and Linux environments is an advantage Strong background in deep learning for image analysis / computer vision, ideally