79 parallel-computing-numerical-methods Postdoctoral research jobs at University of Minnesota in United-States
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or more of the following: ● Experience with urban watershed modeling or lake systems modeling ● Experience with limnological or aquatic field methods ● Experience with statistical methods for making
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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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of Minnesota is seeking a highly motivated Postdoctoral Researcher to join a dynamic team focused on developing intelligent neurotechnologies for translational medicine. The lab specializes in computational
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of the analysis methods Advise the PI on the integration of statistical analysis into the manuscript(s) Other duties to be assigned (10%) Participating in other lab activities, such as the weekly lab meeting
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teaching methods to science or mathematics teaching at the college level • Masters in a science (e.g., biology, chemistry, chemical engineering, physics) or mathematics field or equivalent • Experience with
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advanced training in teaching courses within the quantitative methods area. The training experience is intended to competitively position the Teaching Scholar for future employment in teaching-focused
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experimental and computational methods for integrated multi-omics studies. About the Role · Lead independent research projects investigating somatic mosaicism in various tissue types of human or mouse models
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analysis ●Assist with supervision of trainees and their interactions with study methods and data ●Contribute substantially to the preparation of manuscripts via literature review, data analysis and
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statistical methods to agronomic research, including mixed models, geospatial statistics, multivariate analysis, and machine learning - Must possess and maintain an active and valid driver’s license Preferred
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) and developing meaningful scaled score formulas and metrics. The post-doctoral associate will support multiple aspects of this work, including conceptualization and design of the scale scores, computing