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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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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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-on experience with CRISPR. • Proficiency in electrophysiology, calcium imaging, and/or multielectrode arrays. • Familiarity with machine learning, imaging analysis, and/or bioinformatics. Online Application
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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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, epilepsy). The position entails learning new skills in scientific programming, multimodal data analysis (behavioral, neuroimaging, possibility for electrophysiology), as well as science communication
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in the U.S. military, sexual orientation, or associational preferences. Education Requirement: PhD in social work or related field in hand by the start date Required Qualifications: Master's degree in
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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
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for inpatient consultation/liaison service are also available. The Pediatric Neuropsychology track focuses on psychological assessment of learning and attention disorders and neuropsychological testing with youth
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, large-scale discrete-event simulations, machine learning, mathematical modeling, and network science. Desirable Qualifications: A background in epidemiology or healthcare research. Online Application