263 high-performance-quantum-computing-"https:"-"https:"-"https:" positions at Zintellect
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representation in ~50% of total war injuries, and is a leading factor in the decision to amputate with 80% of the surgical amputations performed on military casualties directly related to this missing skeletal
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-automated processing pipeline capable of analyzing high-throughput plant phenotyping and soil-sensing data to extract key phenotypic traits. Advancing crop productivity within sustainable cropping systems
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manufacturing to facilitate the optimization and integration of Direct Ink Writing (DIW) and Laser Powder Bed Fusion (LPBF) techniques for producing high-performance ceramic coal-ash-derived-zeolite (CADZ
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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? Cascading hazards, such as the progression from wind to wildfire
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for Drug Evaluation and Research (CDER) performs an essential public health task by making sure that safe and effective drugs are available to improve the health of people in the United States. As part of
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challenges, while minimizing adverse effects on livestock and their associated environment. Feed availability is one of the largest hurdles to sustainable poultry production due to the high cost and
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and operationalization of advanced material systems, multi-physics high-fidelity computational methods and advanced turbomachinery concepts for future Army VTOL propulsion. It is operationalizing VTOL
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(NCTR), located in Jefferson, Arkansas. The Center for Drug Evaluation and Research (CDER) performs an essential public health task by making sure that safe and effective drugs are available to improve
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the optimization and integration of Direct Ink Writing (DIW) and Laser Powder Bed Fusion (LPBF) techniques for producing high-performance ceramic coal-ash-derived-zeolite (CADZ) filters for strategic adsorption
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evaluation using mobile devices and high-throughput methods such as drones. Phenotypic evaluation will align agronomic traits with allele frequency using advanced statistics. The participant will have the