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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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) pathophysiology associated with blast exposure and development of countermeasure strategies Reviewing studies on multi-organ trauma after blast exposure and development of effective countermeasures Investigating
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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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analysis and trait mapping protocols. Hands-on experience in QTL mapping, association studies and genomic prediction. Controlled (greenhouse/glass house/growth chambers) and wet lab research experience
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are available during specified periods in order to conduct experiments and 2) conduct field experiments to delineate host association of egg parasitoids and impact on emerald parasitoids and other non-target
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genomic analysis. Deep understanding of genetics, genomic analysis and trait mapping protocols. Hands-on experience in QTL mapping, association studies and genomic prediction. Controlled (greenhouse/glass
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to solve chemical and biological defense threats to our nation—both abroad and on the homeland. About ORISE This program, administered by Oak Ridge Associated Universities (ORAU) through its contract with
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institutions, U.S. federal government agencies on large field- and laboratory-based research, and private industry and stakeholder research projects. ORISE fellows, post-doctoral research associates and interns
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both DNA and RNA. The fellow will perform analysis related to genomic selection, QTL mapping, genome wide association study (GWAS), and transcriptome analysis using the latest bioinformatics and
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for research associated with molecular and genomic surveillance of highly pathogenic viruses and other emerging infectious agents. The One Health research projects will focus on the high consequence pathogens