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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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or related field. Previous lab experience with large-scale sequencing, PCR, ELISA, and other immunoassays is highly desirable. Strong organizational and communications skills and computer proficiency
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AND ABILITIES Advanced computer skills and demonstrated experience with office software and email applications. Demonstrated success in following through and completing projects. Excellent
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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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. Experience with Neuroimaging (FSL, SPM, AFNI, or equivalent) software. Experience using high-performance computer clusters and bash/shell scripting. Experience in data science, statistics, optimization
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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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. Demonstrated ability to apply theoretical knowledge of science principals to problem solve work. Ability to maintain detailed records of experiments and outcomes. General computer skills and ability to quickly
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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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, 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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are linked to the California Cancer Registry, as part of the national SEER registries. The postdoc fellow will work closely with statisticians, computer scientists, oncologists, and epidemiologists in the lab