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Previous Job Job Title Post-Doctoral Associate - Department of Biology Teaching and Learning Next Job Apply for Job Job ID 369337 Location Twin Cities Job Family Academic Full/Part Time Full-Time
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on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine/deep learning with GWAS/sequencing data and other types of omic
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field. ● Possesses a strong laboratory background and communication skills. Preferred Qualifications: ● Ability to quickly learn new things and work independently, open minded, along with previous
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to microfluids. The postdoc scholar will have the opportunity to learn different skills, and will work on a project related to the transport of bacteria in porous media and multiphase flow. 25% - Collaborate with
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motor learning is available immediately in the laboratory of Dr. Aaron Kerlin (www.kerlinlab.org). Successful applicants will use state-of-the-art equipment we have constructed for the in vivo measurement
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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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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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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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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