109 high-performance-computing-postdoc Fellowship positions at Zintellect in United States
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, Lawful Permanent Residents (LPR), and foreign nationals. Non-U.S. citizen applicants should refer to the Guidelines for Non-U.S. Citizens Details page of the program website for information about the
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to United States agriculture by providing 24/7 diagnostic support for high-consequence, transboundary animal diseases, such as African Swine Fever and Foot-and-Mouth Disease. Research Project: This is an opportunity
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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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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: The participant will conduct research on soil erosion research with an emphasis on high
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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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(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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Residents (LPR), and foreign nationals. Non-U.S. citizen applicants should refer to the Guidelines for Non-U.S. Citizens Details page of the program website for information about the valid immigration
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conducts research on environmental health effects and aerospace medicine, addressing health and performance challenges faced by service members in operational military environments. About ORISE This program
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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
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of mutations over time. Next generation sequence analysis will be performed on full-length cDNA products to assess diversity within and between infections over a period of 1 to 2 years. If selected, you will