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Field
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Novartis-Oxford MS (NO.MS) dataset as part of Oxford–Novartis Collaboration for AI in Medicine. The NO.MS is the largest and the most comprehensive dataset on multiple sclerosis (MS), a collection of data
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processes contributing to sea level change; b) experience with ocean and/or earth system modeling; c) experience with Python and scientific data analysis. Candidates must have a Ph.D. or expect to complete a
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and heterointerfaces. The postdoc will lead experimental design, data acquisition, and quantitative reconstruction. The appointees will work within a highly collaborative team spanning multiple DOE user
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 14 hours ago
preprocessing; image remapping, color adjustment and combining; comparison to data from other telescopes; and subsequent investigations of reprocessed images which can focus on one or multiple scientific areas
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conferences, and work within a large, interdisciplinary team of experts from multiple national laboratories and universities. The appointee will benefit from direct access to the unique capabilities
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related to scientific computing - A solid background in multi-linear abler and tensor contractions software development - Proficiency in multiple programming languages (Python, C/C++, or Fortran), ideally
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lie at the crossroads of multiple disciplines and involve expertise in optics, electronics, image and data processing (including machine learning), photophysics, chemistry and biology. The position is
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expertise and a strong publication record utilizing advanced statistical modeling and missing data techniques, specifically multiple imputation. Strong foundational knowledge of pediatric health and clinical
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. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Primary Care, Duke Home and Hospice, Duke Health and Wellness, and multiple affiliations. Job Title
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captures neural activity and intelligent behavior at unprecedented scale and resolution. This ambitious project spans multiple institutes including the Wu Tsai Neurosciences Institute, Stanford Bio-X, and