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beginning in fall 2026, preferably with an interest or focus on statistical foundations of data science, artificial intelligence and machine learning, theoretical statistics and probability, uncertainty
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Description: The Institute of Food and Agricultural Sciences is creating an environment that affirms community across all dimensions. If an accommodation due to a disability is needed to apply
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with subject matter researchers and investigators in large NIH consortia. Basic Qualifications Ph.D. in a quantitative field, e.g., statistics or biostatistics, computer sciences, computational biology
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, mathematics, computer science, engineering or a related discipline Required Other None Additional Preferred Experience working in one of the following areas: Machine learning/predictive modeling
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Ph.D. by the time of appointment in statistics, mathematics, computer science, engineering or a related discipline Required Other None Additional Preferred Experience working in one of the following
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. For applicants to the Microbial Bioinformatics track: PhD or equivalent in Computational Biology, Microbiology, or a related field. At least one published contribution in computational biology, microbiology, or a
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wage determination. Qualifications Applicants must have a Ph.D. in Statistics, Computer Science, Economics, Sociology, or related field. Instructions Applicants should submit a cover letter, a statement