Sort by
Refine Your Search
-
Listed
-
Employer
- George Washington University
- Argonne
- Princeton University
- Rutgers University
- Texas A&M University
- The University of Arizona
- University of Minnesota
- Indiana University
- Iowa State University
- Loyola University
- New York University
- SUNY University at Buffalo
- Stanford University
- The Ohio State University
- University of California
- University of Miami
- University of North Texas at Dallas
- University of Oregon
- University of South Carolina
- 9 more »
- « less
-
Field
-
scholar positions. The group plays leading roles in developing reconfigurable nanophotonic devices, MEMS-based instrumentation for precision control, and advanced nanophotonics theory and design. The
-
| Computer Science and Engineering We are seeking a postdoctoral researcher to work on problems at the intersection of algebraic coding theory, matroid theory, and pseudorandomness/derandomization. The focus
-
Previous Job Job Title Post-Doctoral Associate, Dr. Xue Feng Next Job Apply for Job Job ID 368957 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code
-
the theoretical and computational mechanics of shell structures, with a focus on extending these models to incorporate coupling with electromagnetic theory. This position is part of an interdisciplinary effort to
-
Posting Details Position Details Title Postdoctoral Position in Lattice Field Theory Appointment Status Non-Tenure Track Department IU Bloomington Physics Location Bloomington Position Summary
-
. Additional duties as assigned. Knowledge, Skills and Abilities: Solid fundamental knowledge in classical error correction coding theory, digital communications, and signal processing, quantum error correction
-
extension. Applications will be reviewed on a rolling basis. Applicants should submit a cover letter and C.V. online. Upon request, candidates should be prepared to submit references, code and/or writing
-
activity patterns being associated with movements and others not. By using our novel techniques, that can drive precise patterns of activity distributed across many neurons, we can test different theories
-
simulations, statistical mechanics, computer programming (e.g., C++, Python), polymer theory, molecular modeling (e.g., of proteins, nucleic acids, ligands), coarse-grain and polymer model development
-
at the intersection of control theory and machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement learning, and Data-driven modeling and control. The Post