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, the fellow will learn about and gain experience in: Conducting independent research aimed at developing sustainable management tactics for invasive species Conducting chemical ecology studies with
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to the continent, and sub-daily to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including artificial intelligence (AI) and machine learning, to help
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on the candidate’s expertise. Additionally, the fellow will be encouraged to develop a scientific project that helps address research gaps related to the transmission or management of vectors of JEV, VSV, or RVFV
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environmental benefits by the increasing use of recycled asphalt binders in new pavements. Under the guidance of a mentor, the participant will participate in the development and optimization of chemical
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. These include, but are not limited to: Writing proposals under guidance of senior scientist Learning all aspects of the drug development process from early discover through pre-clinical trials Performing
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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
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(CCAT) providers. Findings will be compared with existing CCAT Advanced curriculum. The study aims to construct a list of treatments that would be required and the tasks needed for each treatment, develop
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the increasing use of recycled asphalt binders in new pavements. Under the guidance of a mentor, the participant will participate in the development and optimization of chemical processes to improve
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for wheat, barley, oat, and rye. As part of a highly collaborative, multi-disciplinary team, the selected candidate will use his/her computational biology and machine learning background to help develop tools
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learning background to help develop tools to transform data query, access, display, and sharing, perform analyses, present results, and publish manuscripts. Learning Objectives: The participant will learn