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at the host-pathogen interface. Learning Objectives: Under the guidance of a mentor, you will: Learn the structural and immunological principles underlying glycoconjugate vaccine design and function. Learn mass
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regions of the hemagglutinin (HA) head rather than conserved stem epitopes. Similarly, noroviruses exhibit substantial genetic diversity and immunodominance patterns skewed toward variable capsid regions
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of large-scale genomic and transcriptomic datasets ('big data'), with hands-on experience in high-performance computing (HPC) environments (e.g., command-line interface, scripting in R/Python, use of common
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transformative research by applying advanced genomic and transcriptomic approaches to questions in invasive insect biological control. The core of this research program will harness state-of-the-art 'omics
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Army Institute of Research (WRAIR) is DoD's premier research enterprise for infectious diseases, brain health, and performance optimization. Around the world and at WRAIR’s headquarters, research is
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an opportunity to receive hands-on experience in navigating the complex molecular interface of plant-pathogen interactions. The participant will be encouraged to analyze experimental data, troubleshoot complex
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interfaces supporting the CAMP staff with the development and implementation of reports required at multiple levels of leadership (clinic, facility, enterprise). Leveraging artificial intelligence to optimize
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scientific organization, major investments in computing, networking, and storage infrastructure are required. Training in data and information management are integral to the integrity, security, and
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Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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, scientists, or cooperating partners in the field, laboratory or office associated with the NRS-07 Grand Rapids office research program that is inclusive of research on forest ecology, aquatic ecology