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record in inter- and trans-disciplinary scholarship Strong skills in qualitative data collection and analysis Strong written and oral communication skills, including journal articles, professional
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–functional modeling of root system architecture. Phenomics data integration and high-dimensional trait analysis. Predictive breeding and quantitative genetic modeling. Machine learning approaches to genotype
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experiments, ex. generate/characterize Arabidopsis mutants and transgenic plants, large-scale DNA/RNA/protein-extraction, PCR, qRT-PCR, western blot, RNA-seq/Ribo-seq library constructions and analysis, and
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experience in experimental optics, data analysis, and independent research, and will have the opportunity to contribute to high-impact publications and interdisciplinary collaborations at the interface
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applicants for a 12-month, 100%-time postdoctoral associate. This position is intended for candidates with strong training in quantitative epidemiology, data analysis, and population-level disease research
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origin, citizenship, age, disability or protected veteran status. Required Degree Doctorate -Electrical and Computer Engineering Minimum Requirements The minimum qualifications are a PhD in electrical
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. Experience with omics analyses, seed biology, metabolism, or quantitative data analysis is highly desirable. Required Application Materials Applicants should submit a cover letter, curriculum vitae, a brief