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methods of data analytics (e.g., statistics, stochastic analysis, Bayesian statistical analysis), physically-based hydrology and water quality models, and the use of machine learning tools for modeling flow
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host interactions through network analysis, machine learning. - Ability to map microbial genes to biochemical pathway analysis - Excellence in research, communication and collaboration skills, as
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environment and appreciation of differences in the workplace The selected candidate must have, or be able to acquire, Special Sworn Status, to work in the Federal Statistical Research Data Center (FSRDC), of
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Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit eligibility. Competitive wages, paid holidays, and generous time off Continuous learning opportunities
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problems. To learn more, visit our website at https://cse.umn.edu/safl. Pay and Benefits Salary: $61,008 Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit
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conducting clinical or preclinical proof-of-concept studies Preferred: Experience in physiological signal processing and the application of machine learning to biomedical data Background in computational
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you learned about this program. For information about this position, please contact Dr. Mustafa al’Absi at malabsi@umn.edu The University of Minnesota is an equal opportunity educator and employer
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. The role offers exceptional opportunities for professional development, including learning the latest advancements in large language models, translating these innovations to genomic applications, and leading
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should be open to learning new techniques and have a strong interest in using next-generation sequencing-based techniques to study virus-host interactions. Specifically, Individuals will perform epigenetic
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- May 2026). The opportunity to teach a class in Summer 2026 may be available. The position may be renewed based on funding, departmental need, and job performance. At the University of Minnesota