94 parallel-computing-numerical-methods-"Multiple" Fellowship positions at Zintellect
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& Amputation Center of Excellence (EACE) is a unique organization within the Department of War (DoW) consisting of teams of researchers embedded at the point of care within multiple Military Treatment Facilities
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& Amputation Center of Excellence (EACE) is a unique organization within the Department of War (DoW) consisting of teams of researchers embedded at the point of care within multiple Military Treatment Facilities
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Requirements: This opportunity is available to U.S. citizens only. ORISE Information: This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge
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scientists cooperating across multiple Research Stations, the project team includes co-investigators and experts from the following collaborating organizations: Ecological Restoration Institute, Northern
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utilization of manure byproducts. The participant will collect and analyze data on system performance, nutrient recovery/removal efficiency, treatment economics, and environmental impacts across multiple
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Island. This learning opportunity will include synthesizing information on various mitigation methods (e.g., shaded fuel breaks, fuel reduction treatments, post-fire restoration), developing cost scenarios
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analysis. Why should I apply? Under the guidance of multiple mentors, you will gain hands-on experience to complement your education and support your academic and professional goals. Along the way, you will
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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
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interdisciplinary team composed of USDA-ARS and UC Davis experts! We are seeking a fellow to be a part of our research that involves assessing and monitoring aquifer recharge methods in California’s Central Valley
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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