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[map ] Subject Areas: Mathematics, AI-based drug design and discovery, Bioinformatics/Protein Engineering/Single-cell Omics Data, Mathematical AI/Machine Learning/Deep Learning, and Computational
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–phenotype–environment interactions. Scaling root traits to agroecosystem processes Ideal candidates will have strong quantitative or computational backgrounds in bioinformatics, breeding, quantitative
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research. Experience with advanced techniques such as flow cytometry, imaging, genomics, or bioinformatics. Ability to work both independently and collaboratively in a multidisciplinary research environment
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provides an outstanding, collaborative research environment with strong programs in plant sciences, genomics, and bioinformatics. Equal Employment Opportunity Statement All qualified applicants will receive