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Statistical analyses of data in those databases Communication with research collaborators and industry practitioners Analyzing the data and contributing to publication drafts Working with other SSLA researchers
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related to corporate and securities litigation Statistical analyses of data in those databases Communication with research collaborators and industry practitioners Analyzing the data and contributing
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, and techno economic analysis. Work in a multidisciplinary team environment, including backgrounds in biology, chemistry, earth sciences, statistics, physics, energy technologies, materials science, and
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diagnostics methods. Knowledge of solid-polymer electrolytes, composite membranes, mechanics, and polymer chemistry. Familiarity with data curation and visualization, statistics, and advanced data analysis
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statistical genetics Proven experience with applying standard pipelines for the analysis of large-scale genetic data sets Demonstrated proficiency with R or Python Demonstrated ability to effectively
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prototype detector systems. Design, set up, and execute experiments to characterize and evaluate detector performance. Analyze experimental data using advanced statistical and data analysis techniques, and
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providing only general guidance and suggestions. Interpret, synthesize, and analyze data using scientific or statistical techniques. Solve problems, and make decisions which affect the direction
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performance. Analyze experimental data using advanced statistical and data analysis techniques, and develop custom data analysis tools and algorithms as necessary. Prepare high-quality manuscripts
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, Biogeochemistry, Molecular Biology and an understanding of key and complex biological concepts including genes, pathways, and microbial phylogeny. Experience with UNIX utilities and filesystems, R statistical
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concepts including genes, pathways, and microbial phylogeny. Experience with UNIX utilities and filesystems, R statistical analysis platform, and standard bioinformatics tools and databases. Excellent oral