Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Purdue University
- Susquehanna International Group
- University of Utah
- California Institute of Technology
- Duke University
- The University of Iowa
- University of Florida
- Brookhaven Lab
- Florida International University
- Los Alamos National Laboratory
- National Renewable Energy Laboratory NREL
- Texas A&M AgriLife
- University of Alabama, Tuscaloosa
- University of Kansas Medical Center
- University of Maryland, Baltimore
- University of Nebraska–Lincoln
- University of New Hampshire – Main Campus
- 7 more »
- « less
-
Field
-
offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South. Special Instructions for Candidates Candidates should submit
-
, refining, separation, process optimization, and simulation. The postdoctoral researcher will be supervised by Drs. Junli Liu and Nathan Mosier. Interested candidates should submit an application containing a
-
field by the time of appointment. Preferred: Preferred Qualifications: Ideal applicants should possess a strong background in one or more of the following areas: Edge tokamak simulation. Collisional
-
on the use of new Lyapunov-based deep learning methods. Such development includes: ideation, mathematical development, Lyapunov-based analysis, executing simulations and experiments, and disseminating research
-
University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 3 months ago
of New Hampshire invites applications for a non-tenure-track Assistant Research Professor position in Sustainable Engineering. We seek applicants with a strong background in systems analysis and simulation
-
information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South. Posting
-
machine learning techniques to predict market behavior and generate alphas Execution. Create strategies to execute on modelling ideas under simulated competition Evaluation. Backtest ideas using historical
-
machine learning techniques to predict market behavior and generate alphas Execution. Create strategies to execute on modelling ideas under simulated competition Evaluation. Backtest ideas using historical
-
, statistical analysis, and machine learning techniques to predict market behavior and generate alphas Execution. Create strategies to execute on modelling ideas under simulated competition Evaluation. Backtest
-
, statistical analysis, and machine learning techniques to predict market behavior and generate alphas Execution. Create strategies to execute on modelling ideas under simulated competition Evaluation. Backtest