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months. Preferred Skills: A background in computer and/or data science with some experience in machine learning, multivariate statistical analysis, artificial intelligence, or computer programming. Some
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. Description: Major advances in technology are required to enable the next generation of UV instruments for discoveries beyond HST, GALEX, and Cassini. Two elements with high impact on UV instruments performance
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. Familiarity with transcriptomic analysis packages (e.g., DESeq2, scanpy) and workflow managers (e.g., Nextflow, Snakemake). Prior use of bioinformatics tools, pipelines, and statistical methods for the analysis
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presentations, briefings, scientific manuscripts, and data analysis. Where will I be located? Natick, Massachusetts What is the anticipated start date? August 2026 Exact start dates will be determined at the time
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and diabetes-related complications using large data sets from electronic medical records, health insurance claim or national surveys, and; Cost-effectiveness analysis of interventions for preventing and
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, PCR/qPCR, gene cloning and expression analysis, lab, greenhouse and field studies of microbes, plants and facilities. Project assignments meet USDA-ARS's mission to find solutions to agricultural
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Engineering, or comparable field). Degree must have been received within the past five years. Preferred skills: Knowledge of basic concepts in genomic sequence analysis and plant genetics. Unix scripting
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of food chemistry, sensory analysis, food microbiology/food safety, and food engineering Experience in designing, running, and evaluating data from descriptive or consumer sensory panels for food evaluation
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USDA-ARS Molecular Biology Postdoctoral Fellowship in the Natural Products Utilization Research Unit
sequence databases, analysis of gene function via CRISPR/Cas-9-mediated genome editing and RNAi, heterologous protein expression, real-time qRT-PCR, and plant transformation using species such as Arabidopsis
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, you will gain skills in the following: Analysis and testing of fungal toxins in corn seeds Greenhouse experiments and care of corn plants Genotyping of corn Seed quality testing using sophisticated