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and research in several areas. These include, but are not limited to: Adversarial location and network interdiction models Adversarial machine learning attacks and defense (e.g., against Bayesian
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interacts with the human body—making it a key factor in both product performance and consumer satisfaction. You will also apply statistical and machine-learning tools to explore how cotton fiber properties
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identify conserved genetic elements across a range of taxonomic depths, to help determine elements that have been important in the many crops in the legume plant family. This fellowship will play a part in
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other test sites. Why should I apply? Under the guidance of a mentor, you will: Learn how to research issues and conduct feasibility studies pertaining to the engineering and scientific elements
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tools are used to characterize genetic and epigenetic variation. Identify and differentiate types of genomic variation (e.g., SNPs, CNVs, DNA methylation patterns) and functional genomic elements (e.g
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semiconductor-free emerging sensing materials (plasmonic metal metasurfaces). You will consider how this might represent the first steps to a new generation of inexpensive and uncooled sensors, whether
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integration and technology selection. Participating in aircraft operations trade studies to evaluate economic viability and military effectiveness. Developing and applying analytical skills to predict installed