Sort by
Refine Your Search
- 
                Listed
- 
                Employer- Oak Ridge National Laboratory
- Princeton University
- Northeastern University
- University of Washington
- Argonne
- Medical College of Wisconsin
- University of California
- University of Kansas
- Brookhaven Lab
- Brookhaven National Laboratory
- Brown University
- Fred Hutchinson Cancer Center
- Lawrence Berkeley National Laboratory
- Massachusetts Institute of Technology
- Massachusetts Institute of Technology (MIT)
- Michigan Technological University
- Nature Careers
- The University of North Carolina at Chapel Hill
- University of California Davis
- University of California Los Angeles
- University of California, Los Angeles
- University of California, Merced
- University of Minnesota
- University of North Carolina at Chapel Hill
- University of Oklahoma
- University of Southern California
- University of Southern California (USC)
- University of Texas at Austin
- Virginia Tech
- Washington State University
- Washington University in St. Louis
- 21 more »
- « less
 
- 
                Field
- 
                
                
                platform enables us to test hundreds of different conditions in parallel and assess their impacts on human immune responses, such as antibody production. We routinely work with industry partners to exploit 
- 
                
                
                on advancing agricultural food technology through the integration of artificial intelligence (AI). Specifically, the Postdoctoral Scholar is expected to conduct intellectual research involving parallel and 
- 
                
                
                , Bioinformatics, Computer Science, Mathematics, Statistics, Data Mining, Parallel Programming, Supercomputing, or Cloud Computing. 3) Experience collaborating with diverse and geographically distant teams 
- 
                
                
                computing, and parallel programming paradigms Strong publication record in reputable avenues Strong writing skills Strong skills in model development, data analytics, machine learning, and visualization 
- 
                
                
                with parallel computing and high-performance computing environments; a working knowledge of FORTRAN; experience working with large NetCDF data sets; experience with Matlab and/or Python; an interest in