119 parallel-computing-numerical-methods Fellowship positions at Zintellect in United States
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management methods. The fellow will be a part of guided experimental design, data analysis, and manuscript preparation. Learning Objectives: To support the research and training of the postdoctoral research
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. Research Project: The participant will engage in a research initiative aiming to improve the Agency's understanding of ATP-bioluminescence technology, which has been identified as a rapid microbial method
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program will harness state-of-the-art 'omics' technologies, including comparative genomics, population genomics, and transcriptomics, to: Utilize genomic and transcriptomic data to build comprehensive
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reporting soil health results back to participating farmers. Learning Objectives: Under the guidance of a mentor, the fellow will gain hands-on experience with laboratory methods for soil health assessment
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results back to participating farmers. Learning Objectives: Under the guidance of a mentor, the fellow will gain hands-on experience with laboratory methods for soil health assessment, learn how to handle
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foreign fungal plant pathogens. Gain understanding of fungal virulence factors and mechanisms of pathogenicity through mentored research. Learn methods for characterizing high-consequence agricultural
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-clinical models and multi-omic approaches. The proposed research involves the application of state of the art methods such as single cell RNA-Seq/ATAC seq/spatial transcriptomics on preclinical animal models
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) participant, you will join a community of scientists and researchers in an effort to optimize collection methods and protocols for human biofluids. This project will be in support of the Air and Space
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to integrate diverse perspectives and convergent methods in addressing complex social dimensions of wildland fire management. Mentor: The mentor for this opportunity is David Flores (david.flores2@usda.gov
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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: You will have the opportunity to contribute to collaborative research between the Methods