Sort by
Refine Your Search
-
Employer
- Oak Ridge National Laboratory
- Argonne
- Nature Careers
- Stanford University
- Princeton University
- University of North Carolina at Chapel Hill
- University of Texas at Arlington
- Brookhaven National Laboratory
- Columbia University
- Cornell University
- Indiana University
- Northeastern University
- Rutgers University
- Sandia National Laboratories
- Texas A&M University
- The University of Arizona
- University of Central Florida
- University of Miami
- University of Minnesota
- University of Utah
- University of Washington
- Washington University in St. Louis
- 12 more »
- « less
-
Field
-
, Climate Science or a related field. Experience in earth system modeling, data assimilation, and remote sensing of land surface variables. Experience with parallel computing on high performance cluster
-
. Scalability of Preprocessing Pipelines: Design and implement automated, parallel preprocessing workflows capable of handling multi-petabyte datasets efficiently while reducing throughput bottlenecks. Data
-
. Demonstrated experience developing and running computational tools for high-performance computing environment, including distributed parallelism for GPUs. Demonstrated experience in common scientific programming
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
parallel experimental streams Experience with host-pathogen interactions, immune regulation, innate and adaptive immune responses Special Physical/Mental Requirements Special Instructions For information
-
research resource for the department, ensuring reliable study execution and operational support for faculty research. In parallel, the postdoc will advance their own research program and collaborate with
-
editing, PCR, Sanger sequencing Track-record of first-author publications in reputable peer-reviewed journals Demonstrated self-initiative and motivation, ability to collaborate, organize parallel
-
Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning, parallel storage systems and scientific