117 parallel-computing-numerical-methods-"DTU" research jobs at University of Minnesota
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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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assigned allegation using the research methods and template taught in the training program Synthesize the research and enter it into the coding tool for the allegation and upload research sources and
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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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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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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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that enable evidence-based decision-making in public and private sectors. The Interdisciplinary Sustainability Decision Support Researcher will be critical to the implementation of mixed-methods approaches
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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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working with preclinical models • Experience in one or more of following methods: in vivo behavior, small animal surgery, RNA, DNA, protein extraction and measurement, cell culture, histology
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protocols for molecular and cellular assays, including DNA/RNA work, immunoprecipitation, and western blotting • Analyze experimental data using appropriate statistical methods and bioinformatic tools