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in the physical system over time Where will I be located? Fort Detrick, Maryland What is the anticipated start date? The USAISR is ready to make appointments immediately. Exact start dates will be
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on this opportunity. All application materials should be submitted via the “Apply” button at the bottom of this opportunity listing. Please do not send application materials to the email address above. Connect with
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identified on this opportunity. All application materials should be submitted via the “Apply” button at the bottom of this opportunity listing. Please do not send application materials to the email address
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food, food contact materials, and agricultural samples. Throughout the course of this research project, you will gain experience in developing machine learning tools for the identification and analysis
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on this opportunity. All application materials should be submitted via the “Apply” button at the bottom of this opportunity listing. Please do not send application materials to the email address above. Connect with
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to make models realistic, and analyzing output from simulation runs using established statistical techniques. Opportunity exists for novel approaches, and you will be encouraged and supported to publish
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breeding, genomics, quantitative genetics, biotechnology, horticulture, and pre-breeding approaches used to improve stress tolerance in grapevine breeding lines. Learn how researchers make crosses, evaluate
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to make all division products and activities scientifically strong, clear, compelling, and leading to action. The DPS SEU promotes excellence in science and evaluation through data quality, scientific
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, including models customized for fungal genomes. Training will include crop and fungal RNA-seq analysis; integration of multi-omic and phenotypic data; protein-interaction and structure-based analyses; and
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quality-control materials, analytical review criteria, repeat-testing criteria, and evaluation of data reliability. Laboratory documentation and risk assessment – You may gain experience developing project