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computer clusters and bash/shell scripting. Experience in data science, statistics, optimization, machine learning, and/or deep learning. Experience with machine learning frameworks (e.g. PyTorch, Tensorflow
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, machine learning, and/or deep learning. Experience with machine learning frameworks (e.g. PyTorch, Tensorflow, etc.) Experience with Statistical software (R, SAS, SPSS, or equivalent), and other common
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, implementing, modifying, and maintaining computer programs. Work on systems of moderate size and complexity or segments of larger systems. The Division of Medical Physics core values are based on professionalism
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business applications, such as Microsoft Office; Advanced Excel skills. Demonstrated knowledge of and experience with accounting systems and the internet; computer literacy. Knowledge of Generally Accepted
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techniques a plus. Computer experience with spreadsheet and word processing applications. Experience or willingness to learn quantitative imaging analysis of brain tissue imaging. EDUCATION & EXPERIENCE
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We are inviting applications for a full-time postdoctoral scholar with a strong computational background and interest in leading the development of clinical deep learning and other machine learning
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for high-dimensional survival data using longitudinal features, and (6) machine learning and deep learning for analyzing time-to-event outcomes, or (7) radiomics and medical imaging analysis.
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understanding of scientific theory and methods. General computer skills and ability to quickly learn and master computer programs. Ability to work under deadlines with general guidance. Excellent organizational
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learn and master computer programs, databases, and scientific applications. Ability to work under deadlines with general guidance. Excellent organizational skills and demonstrated ability to accurately
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coordination skills, strong organizational skills, and the ability to remain flexible in a constantly changing and demanding environment. Ability to learn new software reporting applications (e.g., Tableau