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/Statistics, Medical/Health Informatics. Strong computational and programming skills with abilities to develop cutting-edge large-scale machine/deep learning algorithms using high-performance computing (HPC
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robust geospatial software tools for automated processing of satellite imagery and other remote sensing data. This includes implementing algorithms for geometric corrections, radiometric calibrations, and
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outcomes ●casual representation learning for real-world data ● deep learning interpretation, fairness and robustness ●Regularly conduct computational experiments to execute algorithms on various health and
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Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job About the Job The Computational Pathology Researcher II will play a pivotal role in advancing digital and computational
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faculty in developing theory and application tools for artificial intelligence (AI), and training efficient data analytics. 60% - Leading research in AI will include generative models, algorithms and
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) and developing meaningful scaled score formulas and metrics. The post-doctoral associate will support multiple aspects of this work, including conceptualization and design of the scale scores, computing
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tracked and the growth factor and exosome data will be compared using machine learning algorithms to identify growth factors and exosome numbers that correlate positively or negatively with clinical
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tools. * Familiarity with tensorflow and/or pytorch. * Demonstrated ability to design and implement machine learning techniques and algorithms. * Demonstrated expertise in the Linux computing environment