87 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:" Fellowship positions at Zintellect
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phenotypes in warm water aquaculture species. The fellow will learn to utilize genome-scale datasets from host-pathogen interaction studies along with high-performance computing resources to answer scientific
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high-resolution mass spectrometry and high-performance liquid chromatography to identify and profile phytochemicals, the translation to nutritional impact remains a challenge. Under the guidance of a
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Project: This appointment is supported by the USDA-ARS, SHRS, and Miami location, with the primary objectives being the development of high-yielding cacao and other crop cultivars characterized by superior
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Project: Selected participants will join research projects focused on the development of methods and tools in support of our regulatory science efforts in evaluating computational pathology (CPATH) devices
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phenotypes in warm water aquaculture species. The fellow will learn to utilize genome-scale datasets from host-pathogen interaction studies along with high-performance computing resources to answer scientific
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in Frederick, Maryland provides responsive high-containment research that secures the nation’s food supply, agricultural economy, and environmental health against the threat of invasive foreign plant
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techniques: QuEChERs, SPE, and SPME. Be trained in the following analytical technologies: LC-MS, GC-MS, CE and TXRF Learn how to perform basic statistical analyses and summarize data sets Learn about
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tracking clinical outcomes. The system is referred to as the Clinical Assessment Management Portal "CAMP" Identifying the systems requirements for a healthcare operation and support decisions regarding
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, laboratory or office associated with the NRS-07 Grand Rapids office research program that is inclusive of research on forest ecology, aquatic ecology, watershed hydrology, and soil science. Mentor: The mentor
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supply. The fellow's research supports the mission and goals of ARS National Program 108, Food Safety (100%). The candidate will be a part of development of sustainable technologies that solve