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childbirth and related conditions), disability, genetic information, status as a U.S. Veteran, service in the U.S. military, sexual orientation, or associational preferences. Education Requirement: A PhD in
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. Experience working with a high-performance computing (HPC) environment. Familiarity with machine learning and advanced statistics. Experience with analysis of time series data from intracranial EEG (iEEG
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be also encouraged to explore other research opportunities or collaborations within the group. Tools and techniques to be developed include but are not limited to MR pulse sequences, machine learning
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a U.S. veteran, service in the U.S. military, sexual orientation, gender identity, or associational preferences. Education Requirement: Education Requirements: A PhD in Educational Measurement and
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on psychological assessment of learning and attention disorders and neuropsychological testing with youth with various medical conditions (including seizures, cancer, and kidney transplant patients). The fellows
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of their research projects, fellows in the Smith lab have the opportunity to work one on one with the PhD biostatistician associated with our laboratory to learn introductory machine learning methodology such as
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is inherently multi-disciplinary, Business Analytics lies at the intersection of Computer Science, Statistics, Machine Learning, Big Data, Applied Mathematics (particularly Optimization), Operations
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record, and available funding. Education Requirement: A PhD degree (or about to complete) in machine learning, or a closely related field, is required. Required Qualifications: Practical experience in