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applications in environmental health and ecology as well as working with motivating datasets to become familiar with the data structure, challenges and competing methods. This position requires a Phd degree in
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innovative statistical methods in clinical trial design and variable selection methods in high dimensional data that will predict clinical outcomes and meta-analyses. The successful candidate will collaborate
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research methods, excellent communication/time management skills, and an interest in mentoring junior scholars. A Ph.D. in psychology or a related field is required by the start date. Position Details
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functional data analysis, tensor regression, high-dimensional variable selection, longitudinal and survival analysis, machine/deep learning, bioinformatics methods in -omics data are preferred. Demonstrated
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, mood disorder models, or equivalent. The candidate should also have proficiency in some surgical neural targeting method. Programming skills and an understanding of mouse genetics are also a plus. The