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, from the genome to the continent, and sub-daily to evolutionary time scales. This postdoctoral opportunity entails two major goals. One goal is for the candidate to gain experience in situ monitoring by
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estimation tools and large-scale 3D geologic model for gas hydrate reservoir. Learning opportunities will be given on the area of laboratory characterization of hydrate bearing sediments, numerical reservoir
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of hydrate distributions and fluid migration in porous media under in situ conditions, and • Machine learning application to gas hydrate system to develop efficient key parameter estimation tools and large
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-FS-SRS-2026-0105 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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expertise in molecular cloning and large-scale transformation experiments. Creating recombinant DNA constructs, performing plant transformations, and analyzing transformed plants for gene expression
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have the opportunity to contribute to designing, organizing, and recording the results of large-scale screens for identifying mutants for loss-of-function in disease resistance or avirulence. Through
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plant physiological sensor systems to monitor environmental and crop dynamics. Strengthen data management and analysis competencies through the collection, processing, and management of large
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for large-scale molecular and biochemical projects, and data collection/characterization of understudied fruit and vegetable varieties. The results will be made publicly available on the NPGS online database
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economic and forest recovery goals. The goal of the current research project is to quantify change in forest habitat following large-scale fires in California, Oregon, and Washington to better understand
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bioinformatics. Computational resources are available for large-scale analyses allowing for a unique opportunity for a fellow to obtain unique training and experiences to fit into their professional development