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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 hour ago
, biogeochemistry, remote sensing and field ecology are desired. Programming experience in R, Python or other similar computing languages, as well as experience in code versioning software such as GitHub
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emerging to address the ‘broken system’ of antibiotic R&D. It focuses on the actors and stakeholders seeking to develop a radically altered antimicrobial innovation ecosystem by establishing alternative
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analysis software (e.g., SPSS, R, NVivo) is highly desirable. · Publication Record: Evidence of scholarly productivity, including publications in peer-reviewed journals. · Communication Skills: Strong
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conferences. It is essential that you hold a PhD/DPhil in computational biology, genomics, bioinformatics, computer science, statistics, or a related field together with strong programming skills in Python, R
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). Knowledge of environmental sustainability, soil health, or plant-microbe interactions. Proficiency in the use of bioinformatics tools for metagenomic and transcriptomic data analysis (e.g., QIIME, DADA2, R
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profiling (e.g., flow cytometry, ELISA) Experience with statistical analysis software (e.g., GraphPad Prism, R) for immunological data interpretation Prior publication record in peer-reviewed journals related
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due to climate change, as well as reservoirs, teleconnections, tipping points and fluxes of energy, water and carbon, while predicting future change. The CCI also addresses the R&D required to support
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detectors at Hanford, Washington and Livingston, Louisiana, which have made the first confirmed detection of gravitational waves. A vigorous LIGO Laboratory R&D program supports the development
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cleaning datasets from recently completed research studies, database management, conducting statistical analyses (SAS or R), review/verification and archival of programs for research manuscripts, and
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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
generation, gene/genome reconstruction, prediction of phylogenetic domains of DNA sequences and genes, molecular feature classification, and protein clustering based on structure and function. Skills in R