Sort by
Refine Your Search
-
Listed
-
Employer
- Argonne
- Oak Ridge National Laboratory
- Princeton University
- The Ohio State University
- University of California, Merced
- University of North Texas at Dallas
- University of Washington
- Washington University in St. Louis
- Brookhaven Lab
- George Washington University
- Medical College of Wisconsin
- Nature Careers
- Northeastern University
- Stanford University
- University of California Los Angeles
- University of California, Santa Cruz
- University of Cincinnati
- University of Kansas
- University of Oklahoma
- University of South Carolina
- Wayne State University
- 11 more »
- « less
-
Field
-
in global gravity field modelling Strong foundation in forward gravity modelling and related data analysis Demonstrated excellent programming skills in C++ and FORTRAN and editing source codes written
-
completed within the last 5 years in computer science, data science or a discipline related to the job duties. Experience in parallel computing. Experience with storage systems. Previous research experience
-
Scholar/Fellow positions is to provide individuals, who have recently (within the past 6 years) completed a doctoral degree, with a full-time program of advanced academic preparation and research training
-
package, including health and life insurance, generous paid leave and retirement programs. To learn more about UofSC benefits, access the "Working at USC" section on the Applicant Portal at https
-
programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or large-scale data centers
-
DOE’s missions. This post-doc position presents a unique chance to conduct interdisciplinary collaborative research in BNL programs. Essential Duties And Responsibilities Conduct research in ML, LLMs
-
sets and backgrounds are therefore also critical. Additional desired skills include the following: experience using ROMS; familiarity with parallel computing and high-performance computing environments
-
acquisition (DIA), data dependent acquisition (DDA), and parallel reaction monitoring (PRM) proteomics experiments to fit the specific experimental needs of stakeholder cancer researchers. Manage a wide variety
-
, Bioinformatics, Computer Science, Mathematics, Statistics, Data Mining, Parallel Programming, Supercomputing, or Cloud Computing. 3) Experience collaborating with diverse and geographically distant teams
-
, as well as parallel and distributed computing. Additionally, the Postdoctoral Scholar will collaborate closely with the PI to produce research articles aimed at disseminating the findings obtained from