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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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, 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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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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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
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interdisciplinary research team. Desired Qualifications: Experience with standard bioinformatics and statistical methods and tools (examples include sequencing databases, assemblers, and aligners, programming
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and biochemistry, biology, statistics, AI, and computational science. The successful applicant will work closely with biologists and biochemists to develop biochemical data sets, and to develop AI and
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of statistical methods suitable for durability and lifetime predictions. Design and execution of operando measurements aimed at determining degradation rates and mechanisms in PEC water splitting devices
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of large survey datasets (e.g., Stata, R, Python). Demonstrated experience with statistical analysis and reasoning. Excellent verbal and written communication and presentation skills. Capable of working