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using techniques from machine learning and statistics. Applicants may also make research advances in machine learning and statistical methods as necessary for their application domains. These faculty
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of tools and public goods. Requirements Applicants must have (or expect to have at time of appointment) a PhD in the social sciences, statistics, computer science, or related fields, and their interests must
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skills. Ideal applicants will also have experience with some combination of: a) Machine learning e) code optimization and software delivery f) big data visualization g) cloud computing h) web application
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for energy systems planning and operations, leveraging decomposition methods, machine learning, multi-scalar modeling, and other creative techniques. 2.Applied energy systems modeling: scholars will help build