106 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions at Zintellect in United States
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for Physical Sciences Qubit Collaboratory (LQC) is a national Quantum Information Science Research Center hosted at the Laboratory for Physical Sciences (LPS) at the University of Maryland, College Park. The LQC
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operations, senior scientists within the IC annually pinpoint vital research topics spanning diverse disciplines, from artificial intelligence, quantum computing and sensing, biotechnology, and energy and
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to open and maintain market access and improved quality of tropical fruit, vegetable and ornamental crops grown in the Pacific Basin. The long-term goals of our research program are to develop and
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species. The research also addresses basic questions, such as whether domestication has preferentially operated on genes that have unusually high amounts of standing variation within wild populations. Under
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-ARS Ornamental Research Program in Miami, FL. The fellow will participate in a team effort to maintain and characterize Ornamental Genetic Resources (OGRs) by discovering molecular resources using
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affect oyster phenotypes targeted for improvement. The fellow will also gain experience using advanced computational methods to develop tools that can accurately predict desirable phenotypes. With
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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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(KY vs. MT) on the performance and physiology of beef heifers, specifically as it relates to fescue toxicosis and heat stress susceptibility. This study utilizes a combination of measures including
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developing stress resistance strategies through trait identification and stacking. Maintaining, evaluating, and utilizing grapevine germplasm. Growth and experimentation with grapevine. Use of high-performance
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/modifiers for asphalt binders and lubricants, research the separation process to produce high boiling FPO fraction, analyze their mechanical properties, and assess their performance evaluation. Resulting