-
application of foundation models for fungal DNA and protein sequences. With ARS and external AI knowledge-holders, you will adapt long-context DNA language models to fungal genomes. These DNA-language models
-
virus neutralization assays and/or ELISAs; evaluation of vaccine potency and efficacy in swine and cattle; and use of molecular and cellular techniques such as recombinant DNA technology, DNA sequencing
-
, catalog, and store large amounts of data, samples, such as seeds, plants or DNA. Experience caring for plants in the field, greenhouse, and growth chamber. Comfortable with communication through phone
-
required for discovering genetic (e.g., SNP, CNV) and epigenetic (e.g., DNA methylation) variations to support eco-evolutionary studies, QTL mapping, or other applications of genomic sequence variation
-
to learn to: Perform animal studies: mouse and large animal inoculation, tissue sampling, necropsy techniques Conduct molecular biology: genomic DNA extraction, PCR, gene cloning, CRISPR/Cas genome editing
-
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
-
physiology, molecular biology and pathology research projects. Trainings will include, but are not limited to, grapevine tissue culture, genetic transformation and genome editing, DNA/RNA/protein extractions
-
DNA (eDNA) metabarcoding data. This will also generate robust, accessible workflows for both short-read sequencing and long-read (e.g. Oxford Nanopore MinION) datasets. Learning Objectives: Under
-
: Experience with lactic acid bacteria or or food-grade yeast species is preferred. Experience with recombinant DNA technologies (i.e. cloning, CRISPR), ethanol fermentation and distillation, or an understanding
-
techniques, including DNA/RNA extraction, PCR and real-time quantitative PCR (qPCR), RNAi. Prior hands-on experience is a plus. Experience with metagenomic approaches (shotgun sequencing and amplicon