Sort by
Refine Your Search
-
Qualifications Strong expertise in agentic scientific machine-learning, advanced analysis of fluid mechanics, dusty plasmas, scientific computing, and multi-scale modeling methods are preferred
-
scientific leadership. Job Responsibilities include, but not limited to: Genomics & Multi-Omics Research Design and execute large-scale genomics studies using GWAS, QTL mapping, and pedigree-based
-
and breeding. The successful candidate will apply multi-faceted approaches, causal variant discovery, and molecular breeding tools to advance understanding of host plant resistance in soybean towards
-
develop models and insights that inform decisionmakers from the local to the national scale. The candidate will employ appropriate theoretical perspectives and statistical methods, including economic and
-
skills Ability to work effectively across a broad range of academic, research, and programmatic areas Desired Qualifications Experience supporting large-scale, complex, or multi-partner proposals