Please apply by November 10, 2019
This is a postdoc position to develop new Salmonella typing and phenotype 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 microbiology or 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 some experience in version control, data structures, and proficiency in Python.
- The applicant should have a good 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.
Compensation includes competitive postdoctoral pay and benefits. The position is fully funded for 4 years.
Interested? Email today..
USDA/ARS is an equal opportunity provider and employer.