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contribute to the development of discretization techniques, the implementation of efficient solvers, and the linkage of various physics to create a multi-physics software code applicable to complex flow
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, Environmental Sanitation and Hygiene, and Laboratory Services. What will I be doing? Under the guidance of a software engineering mentor, you will be involved with and learn how to: Conduct public health related
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-generation sequencing assay for clinical use (LDT) and developing and optimizing methods to conduct assay manufacturing in house or in a mobile setting under ISO conditions for clinical use. Where will I be
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management practices from a time series dataset. We expect that the participant will use econometric methods to approach this research objective. Learning Objectives: The ORISE participant will learn about
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environmental and social impacts; 2) enhance the integrity and efficiency of the FPL’s research efforts through the development, evaluation, and application of modern statistical methods; and 3) provide life
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participating in geospatial data gathering, utilizing GIS software, map making, and back-end geodatabase management. Where will I be located? Fort Huachuca, Arizona What is the anticipated start date? The USAEC
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of the Adaptive Hydraulics (AdH) framework, as well as advancing high-fidelity computational fluid dynamics (CFD) methods for free-surface and multiphase flow simulations. Activities may include improving and
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wearables. Experience in experimental design and analytical characterization is necessary. Working knowledge of data analysis and analytical methods including spectroscopy and microscopy is preferred. Primary
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start date. The ideal candidate would have some, but not necessarily all, of the following: Formal training in resource economics, preferably with a specialty tied to mineral markets. Excited to become
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advanced methods to generate insight and reduce burden (Analytics and Artificial Intelligence). Creating trusted, ready-to-use data (Data Management). Equipping staff to work independently with data (Data