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be in English or include an official English translation. If you have questions about the application process, contact NETLinfo@orau.org . After you have submitted an application in Zintellect, you may
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Manhattan, Kansas, invites a highly motivated postgraduate participant to engage in advanced bioinformatics research on two of the world’s most dangerous emerging pathogens: Nipah virus (NiV) and Crimean
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, Computer Vision, or related field. Application Requirements A complete application consists of: Zintellect Profile Educational and Employment History Essay Questions (goals, experiences, and skills relevant
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the physical effects of the propagation environment; computational/numerical modeling using novel and standard approaches, such as, entropy maximization, immunology, and high performance parallel processing; and
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pursuing degrees in mathematics, computer science, computer engineering, or electrical engineering. These students possess strong mathematical and computer programming foundations and technical skills
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studies supporting research on high-consequence and emerging pathogens. Gain hands-on training in molecular biology, virology, ecology, or bioinformatics methods depending on the project. Learn to collect
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for participants seeking to expand their expertise in molecular biology, virology, ecology, or bioinformatics while contributing to projects of national importance. Learning Objectives: Under the guidance of a
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uptake. This research opportunity will focus on a targeted gene design, bioinformatics approach, to develop coding and noncoding sequence elements for stabilizing mRNAs for in vivo delivery. These mRNAs
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Website . After reading, if you have additional questions about the application process, please email ORISE.ARS.Plains@orau.org and include the reference code for this opportunity. Qualifications
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, protein, grain element, plant and microbe DNA, RNA purification and DNA sequencing analysis using next gen DNA sequencing, gene expression using RNA seq or real time PCR. Open sources of bioinformatic tools