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, quality control, cardiac safety, and data mining. Past fellows have been involved in the development of statistical methods, software tools, and new drug application databases for the analysis of pre
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Pharmacokinetics, data mining, data analysis, Pharmacomatrics, Pharmacology, and has software skills such as NONMEM, R or Python, SAS, etc. Point of Contact Ashley Eligibility Requirements Citizenship: LPR or U.S
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and computational modeling applications in drug development and use of artificial intelligence for data mining. You will gain experience in regulatory toxicology assessment, computational modeling
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, and marker development. Experiences to analyze high through put data sets including short- and long-read genomic and transcriptomic data, and develop or apply related software for data mining. Familiar
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communities and on Tribal lands, such as, but not limited to, Argonaut Mine NPL site, Copper Bluff Mine NPL site, and Lukachukai Mountain Mining District NPL site. You will also assess ATSDR petition sites
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USDA-ARS Molecular Biology Postdoctoral Fellowship in the Natural Products Utilization Research Unit
involving physiological, biochemical, and molecular experiments and the use of numerous techniques such as RNA-seq, data mining of DNA and protein sequence databases, analysis of gene function via CRISPR/Cas
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sites related to mining, smelting, metal production, lumber or paper processing, and agriculture applications and staff balance multiple concurrent projects. You will have the opportunity to conduct in
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, including topic modeling, named entity recognition, and text-data analysis. Learn to apply large language models to real-world environmental health questions and public health challenges. Participate in
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USDA-ARS Molecular Biology Postdoctoral Fellowship in the Natural Products Utilization Research Unit
interactions. These directives require a multifaceted approach involving physiological, biochemical, and molecular experiments and the use of numerous techniques such as RNA-seq, data mining of DNA and protein
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collections that can be used to identify subsets of variation for in-house and stakeholder mining of beneficial alleles in pre-breeding. This last result will allow US breeders to create new varieties