I am looking for a USDA-ARS funded post doctorial candidate to work on a series of transcriptomics datasets that we have already in hand to identify genes and networks associated with responses of crop plants to weeds. Primarily I am looking for someone with knowledge of or the ability to rapidly become conversant with some of the newer AI approaches for identifying genes and gene networks associated with biological conditions. We also have data from several side projects including transcriptomics studies on cold acclimation in plants, and mapping and genome assembly of an emerging oil seed crop called camelina for which we have extensive PacBio sequence data from two parental lines that differ in their ability to withstand freezing, and extensive short read data from the offspring of a cross between these two varieties. As a USDA post-doc, the salary is pretty reasonable ($64,649 - $84,049 per year). Additionally, I know that there are several openings for permanent employment within our center that will likely be opening soon. Fargo is a great place to raise a family with very low crime rates, neighborhood schools usually within walking distance (particularly on the North side of town near the university), and great healthcare access with two large and competing hospitals. More details at www.usajobs.gov/GetJob/ViewDetails/601768100
Prefer some experience with artificial intelligence and machine learning or who have the stats modeling needed to gain that skill set. Needs to have some familiarity with python and R. Experience with transcriptomics and gene network analysis a plus. Must be a US citizen or permanent resident or a member of a treaty country (see USDA jobs link for details). Must have a PhD (or will have a PhD) awarded within the last 4 years (2018 or later). More details at www.usajobs.gov/GetJob/ViewDetails/601768100.
email cover letter, CV, and transcripts (unofficial transcripts are fine) to david.horvath@usda.gov