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, genomics, and molecular breeding research. The fellow will help develop an extensible pipeline for NGS based whole genome sequencing, and genotyping for highly polyploid and complex genome sugarcane using
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vegetables. Model bacterial pathogenic levels through complex survival and growth patterns. Utilize either data analysis or molecular analysis tools (or both) to inform strategies to optimize pre-harvest
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of complex sequence data to generate metagenomes, genomes, and/or transcriptomes from insect vectors and microbes Generation of new tools, as needed, for above processes and analyses Gain understanding
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verifying receipt of degree or current enrollment in an undergraduate or graduate program at an accredited university or technical institute. Student/unofficial copy is acceptable Research Proposal Research
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complex, multi-model ecological forecasting workflow. The fellow will gain valuable experience in advanced model development, calibration, and synthesis of the forest succession, fire severity, and climate
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disease vulnerability, and fuels and fire emissions. They will gain experience with modeling, coding, and database management in support of a complex workflow. The fellow will gain valuable experience in
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technologies required to make that future possible. We’ve long touted our success in developing the technologies that took on acid rain in the 1970s and mercury in the early 2000s. Program Goals The NETL Faculty
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of Oceanography at University of California, San Diego). The USGS mission is to monitor, analyze, and predict current and evolving dynamics of complex human and natural Earth-system interactions and to deliver
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Garrison-Italy is offering an internship in Program Analysis Research for a current student or recent graduate. What will I be doing? As an ORISE participant, you will join a community of scientists and
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of complex human and natural Earth-system interactions and to deliver actionable intelligence at scales and timeframes relevant to decision makers. As the Nation's largest water, earth, and biological