I am currently recruiting a postdoc to work on a USDA-funded project to develop methods for multi-trait genomic prediction using large high-throughput phenotyping data or large multi-environment trials. The goal would be to develop extensions to MegaLMM (GitHub, BioRxiv), and/or apply this model to new contexts. This position would also interact with the new AIFS Institute at UC Davis. Please contact me if interested.
Work in the Runcie lab is motivated by questions of genetic variation, plasticity, and molecular mechanisms. Most of our projects involve the generation and analysis of large, complex datasets. Therefore, I am particularly interested in students with a strong quantitative background, or who are committed to developing skills in statistics, data analysis, and basic programming.
If you are interested in joining my lab, read a few of our papers, think about what kinds of projects you’d like to pursue, and then contact me. I can currently accept students through the Horticulture and Agronomy, Plant Biology, Biophysics, and Biostatistics graduate groups. Please give me a sense of why you are interested in graduate school and what you hope to study, along with a current CV.
I encourage prospective graduate students to explore fellowship opportunities such:
I’m always interested in recruiting talented postdoctoral candidates, and I welcome inquiries about opportunities. I encourage potential postdocs to look into possibilities for fellowship support. These include:
Please email me with your CV, and I’d be happy to discuss fellowship possibilities.