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for leadership roles in government, academia, or industry at the intersection of computational biology, emerging diseases, and agricultural biosecurity. This appointment provides access to NBAF’s unparalleled high
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capable of long term high temperature operation in a vacuum or inert atmosphere environment (at least 17 years). This would represent a “factor of 3“ improvement over current proven heritage technology [1
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of approximately 1.7 million square feet and high-performance computing facilities at the DOD Supercomputing Research Center. What will I be doing? Post-wildfire debris flows are a critical hazard in expanding
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processes to improve the performance of biobased additive/modifiers for asphalt binders and lubricants, research the separation process to produce high boiling FPO fraction, analyze their mechanical
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hydrodynamic systems including aquifers, watersheds, rivers, reservoirs, lakes, estuaries, harbors, coastal inlets, and wetlands. Physical facilities of approximately 1.7 million square feet and high-performance
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that are available to the SCINet community of researchers via high-performance computing. They will also gain experience in generating fungal pan-genome resources including the evaluation of disease resistance, yield
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, and analysis of large, diverse datasets that benefit from high-performance computing (HPC) clusters. The objective of these fellowships is to facilitate cross-disciplinary, cross-location research
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on the extent and use of the Nation’s transportation system, how well the system performs, and the effects of the system on society and the environment. Are you ready to learn how to build consensus around
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the performance of biobased additive/modifiers for asphalt binders and lubricants, research the separation process to produce high boiling FPO fraction, analyze their mechanical properties, and assess
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pathogens of importance to the Department of Defense (DoD). The experience is designed to provide you exposure to cutting-edge methods in viral evolution, high-throughput sequencing, and computational