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We are looking for a scholar with research interests in applications of machine learning to health, interested to pursue a Postdoctoral Fellowship at Stanford University, School of Medicine in Palo
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): General understanding of scientific theory and methods, typically gained through completion of an undergraduate degree in a related field. General computer skills and ability to quickly learn and master
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general guidance. Strong written and oral communication skills. General computer skills and ability to quickly learn and master computer programs such as RedCap, Microsoft Office. Ability to interpret
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records of experiments and outcomes. General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications. Ability to work under deadlines with general
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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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of climate change. The position is geared for a recent PhD graduate with interest in collaborating across disciplines, and expertise in remote sensing, spatial data analysis, machine learning and computer
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intelligence/machine learning, psychology, demography, and population sciences. Through cutting-edge research in biobehavioral and social sciences, L.E.A.R.N. aims to spearhead new advances that enhance
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. General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications. Ability to work under deadlines with general guidance. Excellent organizational
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novel, neurally-controlled assistive interfaces (“brain-computer interfaces”) for people with paralysis or communication impairments. DESIRED QUALIFICATIONS: Bachelor’s degree with coursework in
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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.