This is a pre-announcement in anticipation of a formal award. More details are coming soon.
This is a postdoc position to develop Salmonella typing and phenotypic prediction methods from genomes and metagenomes using population genomics and machine learning.
I anticipate that a successful applicant will have an interest or experience in computer science, machine learning, applied math or quantitative microbial ecology. This position focuses on the development of applications for analysis of this data and the publication of software tools. A successful candidate will likely have experience in version control, test driven development, data structures, HPC’s, DevOps practices and proficiency in Python. The applicant should have a strong understanding of statistics. I recognize that each person has a unique mix of experience and individual strengths and I encourage any applicant with a strong record of research productivity and relevant experience to apply, even if your mix of skills is different than what is listed above.
Contact me via email or apply to find out more please email me.