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research and a solid training in genetics, molecular biology, and cell biology. Experience in yeast genetics and live-cell imaging (confocal and widefield) as well as extensive know-how in image analysis
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, MATLAB, and R, combined with experience in signal and image analysis, as well as familiarity with electronic health data, will be distinct advantages. https://www.bcm.edu/departments/surgery/research/atlas
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
that are facile with computationally efficient, rigorous machine learning for image region identification, demonstrate an understanding of both planetary and scalable computer science, and have publication
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sense, and process information locally has never been greater. Traditional architectures that separate sensing and computation create bottlenecks in speed and energy efficiency. This PhD project aims
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, medical image reconstruction principles and experience with high-performance computer simulations in physics would be beneficial Experience in working with medical imaging data, especially with PET, and
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Sciences departments and their faculty, staff and labs. You may expect to gain experience with computer imaging, hardware, operating system and software troubleshooting, network file and printer sharing
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and computer sciences, magnetic protection, and specialized techniques. The individual in this role is expected to be able to apply appropriate patient care and recognize patient conditions essential
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and Procedures; and will demonstrate a knowledge of the human structure and functions, patient care, positioning, principles of electromagnetic and computer sciences, magnetic protection, and
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Procedures; and will demonstrate a knowledge of the human structure and functions, patient care, positioning, principles of electromagnetic and computer sciences, magnetic protection, and specialized
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hours per week. Salary: Highly competitive, commensurate with experience and qualifications. Work in general science laboratories. Start date: as soon as possible after the selection process is completed