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strength, and dye fixation. These tools may help identify which traits are most influential and whether some of them may be linked to underlying plant genetics, supporting broader efforts to understand how
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at research conferences and seminars. Develop statistical and bioinformatic skills through analysis of experimental data and population genetic and genomic data from plant pathogens and beneficial microbes
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control algorithms (such as adaptive control or model predictive control) to reliably maneuver Army projectiles to the target despite limited state information, control authority, and changing flight
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to the USDA Food Safety Program's development of an AI-powered, publicly accessible database integrating genetic, phenotypic and biotechnological information. Successful outcomes will enhance the profitability
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of microbial genetics and physiology to optimize fermentation strategies through novel strain development and modification of bioprocessing parameters. Learning Objectives: You will gain experience in
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fields (molecular biology, molecular genetics or genomics). Degree must have been received within the past five years. Preferred skills: Prior experience in next generation sequencing is highly preferable
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to reduce crop losses and enhance sustainability. In alignment with ARS National Program 301, we aim to leverage plant genetic diversity and genomics to develop improved germplasm and breeding tools
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Salmonella microbiology (culture, isolation, characterization) Molecular characterization and genetic typing Whole-genome sequencing Transcriptomics Data analysis Data visualization Point of Contact Sara Beth
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the development of image/signal processing algorithms from a multidisciplinary approach, to include multiple sensor modalities. These multidisciplinary research opportunities incorporate theoretical and
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The qualified candidate should be currently pursuing or have received a doctoral degree in the one of the relevant fields. Preferred skills: Experience in analyzing population genetics or genomics datasets and