Sort by
Refine Your Search
-
Listed
-
Employer
- University of Minnesota
- University of Texas at Arlington
- Loyola University
- National Aeronautics and Space Administration (NASA)
- Brookhaven National Laboratory
- Rutgers University
- U.S. Department of Energy (DOE)
- University of Washington
- George Washington University
- Stanford University
- University of California, Merced
- Argonne
- Brown University
- Iowa State University
- Los Alamos National Laboratory
- SUNY Polytechnic Institute
- Sandia National Laboratories
- University of Colorado
- University of Texas at Dallas
- University of Utah
- Zintellect
- 11 more »
- « less
-
Field
-
. Specific responsibilities include, but are not limited to, the following: Develop the core tensor network algorithm for full RIXS cross-section simulations. Benchmark simulation results against ED codes
-
neural networks (CNNs) for extracting features from full-field atmospheric data Demonstrated experience coding in Python Experience modeling unsteady wind loads from atmospheric flows Experience in flight
-
• Proficiency in scientific programming, preferably Python or C/C++ • Strong written and oral communication skills Desired Qualifications: • Familiar with mathematical and coding aspects of neural networks
-
multi-omic sequencing, network biology, and machine learning to identify actionable biomarkers and therapeutic vulnerabilities. The successful candidate will work at the interface of computational
-
cleaning of the meditation RCTs, including coding of PICOs and effect sizes; (b) collaborate with Dr. Sun and other members of the lab to conduct meta-analysis and network meta-analysis based on priority
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 months ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0202-NPP-MAR26-JPL-HelioSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0333-NPP-MAR26-JPL-EarthSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
-
Previous Job Job Title Post-Doctoral Associate - SME Next Job Apply for Job Job ID 372823 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546
-
eligible for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https
-
classes and their roles in scientific applications, such as deep neural networks (DNNs), convolutional neural networks (CNNs), transformer models, and graph-based neural networks. Familiarity with software