Sort by
Refine Your Search
- 
                Listed
- 
                Employer- Oak Ridge National Laboratory
- Northeastern University
- University of Washington
- Argonne
- Medical College of Wisconsin
- Brookhaven Lab
- Brookhaven National Laboratory
- Brown University
- Fred Hutchinson Cancer Center
- Indiana University
- Michigan Technological University
- Nature Careers
- The University of North Carolina at Chapel Hill
- 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 Texas at Austin
- Washington State University
- Washington University in St. Louis
- 12 more »
- « less
 
- 
                Field
- 
                
                
                multiphase flow in porous media. 80% - Applying numerical and analytical infiltration models to quantify groundwater recharge potential under varying hydrogeologic conditions. In parallel, the researcher will 
- 
                
                
                parallel/multiplexed assays, etc.) is desirable. Ability to interpret and discuss experiments and critically contribute to writing of manuscripts and grant proposals is expected. Well-organized, able 
- 
                
                
                deficiency. In parallel, the Deng team is conducting the preclinical studies on developing extracellular vesicles to treat corneal scarring. Both research programs are funded by the National Eye Institute and 
- 
                
                
                gene expression and processing (i.e transcription and RNA splicing). Some specific projects include 1) understanding how particular arrangements of sequence elements are read by the splicing machinery, 2 
- 
                
                
                to cutting-edge research aimed at transforming scientific data management and workflows to enable AI-readiness at scale. You will work on designing system software for automating processes such as intelligent 
- 
                
                
                workflows to enable AI-readiness at scale. You will work on designing system software for automating processes such as intelligent data ingestion, preservation of data/metadata relationships, and distributed 
- 
                
                
                leading peer-reviewed journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration 
- 
                
                
                developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration and validation of results. Deliver ORNL’s mission by aligning 
- 
                
                
                parallel/multiplexed assays, etc.) is desirable. Ability to interpret and discuss experiments and critically contribute to writing of manuscripts and grant proposals is expected. Well-organized, able 
- 
                
                
                -driven techniques for the generation and exploration of complex, large-scale scientific data. Publishing research in leading peer-reviewed journals and conferences. Researching and developing parallel