Sort by
Refine Your Search
-
Previous Job Job Title Post-Doctoral Associate - Department of Biology Teaching and Learning Next Job Apply for Job Job ID 369337 Location Twin Cities Job Family Academic Full/Part Time Full-Time
-
on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine/deep learning with GWAS/sequencing data and other types of omic
-
eligibility. Competitive wages, paid holidays, and generous time off Continuous learning opportunities through professional training Medical, dental, and pharmacy plans Healthcare and dependent care flexible
-
field. ● Possesses a strong laboratory background and communication skills. Preferred Qualifications: ● Ability to quickly learn new things and work independently, open minded, along with previous
-
skills or allows them opportunities to learn new research techniques. They are trained and work in conjunction with a faculty mentor who determines the training agenda. Post-Doctoral Associates may
-
holidays, and generous time off Continuous learning opportunities through professional training Medical, dental, and pharmacy plans Healthcare and dependent care flexible spending accounts University HSA
-
to microfluids. The postdoc scholar will have the opportunity to learn different skills, and will work on a project related to the transport of bacteria in porous media and multiphase flow. 25% - Collaborate with
-
motor learning is available immediately in the laboratory of Dr. Aaron Kerlin (www.kerlinlab.org). Successful applicants will use state-of-the-art equipment we have constructed for the in vivo measurement
-
host interactions through network analysis, machine learning. - Ability to map microbial genes to biochemical pathway analysis - Excellence in research, communication and collaboration skills, as
-
Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit eligibility. Competitive wages, paid holidays, and generous time off Continuous learning opportunities