Job Summary
Generate large genome-scale datasets with a variety of techniques such as Genotyping by Sequencing (GBS), Whole Genome Sequencing (WGS) and targeted genotyping chips (e.g. MassArray) and analyze them together with environmental data using population genetics and machine learning tools. The project involves both hardwood and coniferous species such as white oak, black walnut and shortleaf pine. The postdoc’s work, which will include field work, laboratory and data analysis components, will shed light on adaptability of individual populations of the study species to climates projected for 2070 and beyond and will aid in the development of climate-smart seed sourcing strategies for the eastern US. Multiple peer-reviewed publications are expected to result from this work, to be developed in tandem with key project personnel and collaborators.