11 computer-science-image-processing research jobs at University of Utah in United-States
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advancement. The ideal candidate will have a PhD in computer science or related field utilizing computer science methods, strong expertise in medical image processing, registration and analysis and a long-term
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and computer science. The University of Utah is building a new program in integrating radiology and pathology imaging for clinical outcomes predictions. This program provides strong mentorship for a
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regulations and policies. The research assistant/analyst will directly interact with study participants, collect and manage clinical and brain imaging data, and perform data processing. The ideal candidate
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trainees in imaging science and computational methods. This new faculty will be expected to develop his/her research program, to integrate and broaden the current research programs in the Department, and to
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-of-the art approaches in cell biology, imaging, therapeutic development, and next generation gene therapy. Minimum Qualifications Preferences The successful applicant will have a background in cell and
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QUALIFICATIONS Applicants should have a PhD in Computer Science, or a closely related field and must have research experience in medical image analysis, including the analysis of pathology images using AI and
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on scientific problems, whether biomedical or other, and to applicants with a strong record of scientific productivity. The successful applicant must have a Ph.D. in Computer Science, Data Science, Statistics
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record of scientific productivity is preferable. The successful applicant must have a Ph.D.in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering or related field at the start of
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Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP Area U of U Health - Academics Department 01337 - Molecular Medicine Program Location Campus City Salt Lake City, UT Type
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of data management and FileMaker Pro. 5. Strong computer skills: Excel, Word, PowerPoint, and Outlook. Possible laboratory work in the future, if desired. 1. Knowledge of laboratory equipment usage