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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 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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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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, large-scale discrete-event simulations, machine learning, mathematical modeling, and network science. Desirable Qualifications: A background in epidemiology or healthcare research. Online Application