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will be trained in bioinformatics and data analysis, including genome assembly, annotation, and phylogenomic inference using high-performance computing resources. In addition to technical skills, you
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; 3) Develop strong competencies in collecting, processing, and analyzing plant samples to characterize herbicide resistance mechanisms; and 4) Build robust data analysis skills and enhance scientific
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assay development, metagenomic (mNGS) sequencing, and bioinformatics analysis to advance regulatory science and enhance the safety of biologics. Learning Objectives: Under the guidance of a mentor, you
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expected to learn both independently and collaboratively within a multidisciplinary research team, contribute to experimental design and data analysis, publish findings in peer-reviewed journals, and
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sick honey bees Characterization of diverse microbial communities and analysis of incidence and loads Designing and developing experiments including RNA-Seq Data analysis Drafting manuscripts reporting
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habitat or alternative food sources. Be familiar with recent developments on the introduction and spread of two spot cotton leaf hoppers in cotton crops. Have experience with methods for data analysis and
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-consistent Bayesian framework. This analysis can then be expanded to include the likelihood space of the cosmic ray injection and propagation models simultaneously, since the GMF modeling depends
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on SAR and optical images, GPS, seismometer waveforms, and gravity measurements. Time series analysis of the SAR interferometry and other data is a key part of the research. We then infer the structure and
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system at Global Modeling and Data Assimilation Office (GMAO) has been supporting NASA research and Earth Science missions. Among the millions of observations assimilated at each analysis cycle in the GEOS
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exist for a range of data analysis and theoretical modeling topics related to all of these missions. Location: Goddard Space Flight Center Greenbelt, Maryland Field of Science:Planetary Science Advisors