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about: NGS library construction for genome and transcriptome sequencing. Marker-trait association analysis to identify genetic variations associated with important traits such as disease resistance and
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with digital PCR, multiplex PCR, and microbial community analysis required. Participant will also learn about statistical analysis of data in consultation with ARS colleagues. Participant will be a part
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Project: Under the guidance of a mentor, the participant will conduct research on targeted and non-targeted analysis of per- and polyfluoroalkyl substances (PFAS) in food and food contact materials
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metabolic changes during these events. Techniques may include using GC and LCMS for metabolic flux analysis using pathway labelling as well as analysis of changes in peel surface polymers due to cold chain
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: Conducting phenotype trials related to maize breeding and genetics. Marker-trait association analysis and RNA-Seq analysis to identify genetic variations associated with desirable traits Preparation of data
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characterization Knowledge of instruments including nuclear magnetic resonance, Fourier-Transform infrared, mass spectrometry, dynamic mechanical analyzer, thermogravimetric analysis, differential scanning
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analysis of projects relating to different aspects of vector biology, including ecology, population genetics, management strategies, virus interactions, and virus-transmission competence, depending
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molecular and -omic methods. Learn advanced statistical and bioinformatic analysis of bulk and single cell transcriptomic data. Develop methods to link food nutrition environment with health outcomes. Learn
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, geospatial modeling, and statistical analysis to characterize land use trends related to the northeast agricultural industry and identify impacts and opportunities of agricultural land use transitions
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routinely collaborates with other U.S. Government agencies, allied nations, and academic research institutions. Our work directly impacts the DoD and MHS by: Providing real-time analysis, at the genomic scale