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Field
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Transfer project (STTR) funded by the National Science Foundation. The successful candidate is expected to support the development, simulation and testing of model-free algorithms for real-time optimization
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. Examples of research might include (but are in no way limited to) understanding the impact of algorithmic recommendations on political discourse; exploring how AI and machine learning can support new models
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genotypic information with neuroimaging phenotypes for research questions in neurology, psychiatry and developmental neurobiology. The Imaging Genetics Center (http://igc.ini.usc.edu ) in Marina del Rey
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for applying proteomics and genetics data collected in situ for integrative structure modeling. Critical aspects of the research include: (1) Designing and executing methods to integrate data from different
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include data preprocessing, predictive modeling, and applications in target identification, drug screening, and clinical trial optimization. Students gain hands-on experience using tools and algorithms
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approaches using Python. Topics include procedures and functions, iteration, recursion, arrays and vectors, strings, an operational model of procedure and function calls, algorithms, exceptions, object
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passionate teacher-scholars who conduct research in artificial intelligence, security, games, and/or theory/algorithms. Applicants should demonstrate how their work aligns with one of the Ritchie School’s
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candidates doing relevant research on any aspect of AI and Physics, broadly defined, including using Physics principles and methodologies to understand and develop AI models and algorithms, and using AI
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, statistical physics, dynamics of stochastic processes, analysis and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis Ability to do
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, scientific computation, scientific software and algorithm development, mathematical modeling, data analysis and inference, and image analysis Ability to do original and outstanding research in computational