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collaborative/transdisciplinary/team research. Additionally, there will be opportunities for the participant to expand their data science skills. Further learning opportunities could include high performance
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. Develop skills in coupling crop and hydrology models at watershed scales. Gain experience validating models using large, multi-source datasets. Learn to apply high-performance computing and machine learning
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and testing a novel automated field-based high throughput phenotyping system. You will also assist in conducting experimental design, data collection from field experiments, and data analysis. Research
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Nanopore Promethion, and Element Aviti) for which the fellow will gain hands on experience with library preparation and sequencing if desired. Additionally, high-performance compute infrastructure is
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to United States agriculture by providing 24/7 diagnostic support for high-consequence, transboundary animal diseases, such as African Swine Fever and Foot-and-Mouth Disease. Research Project: The Serology section
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of large-scale genomic and transcriptomic datasets ('big data'), with hands-on experience in high-performance computing (HPC) environments (e.g., command-line interface, scripting in R/Python, use of common
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successful applied researcher in an area that is of high medical relevance. In addition, you will learn how CBER fulfills its mission of improving global public health. Mentor: The mentor for this opportunity
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Performance Computing environment, and utilization of bioinformatics pipelines. Translational Research: You will learn how to translate fundamental research findings into practical solutions for U.S
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Research Laboratory is offering a Biosensor Research Fellowship in the Operational Sensing Section at the 711th Human Performance Wing (711 HPW), headquartered at Wright-Patterson Air Force Base in Dayton
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bioinformatics tools, pipelines, and statistical methods for the analysis of large-scale genomic and transcriptomic datasets ('big data'), with hands-on experience in high-performance computing (HPC) environments