Sort by
Refine Your Search
-
Listed
-
Employer
- George Washington University
- University of Washington
- University of Miami
- University of Minnesota
- Texas A&M University
- The Ohio State University
- Georgia Institute of Technology
- Indiana University
- Iowa State University
- Los Alamos National Laboratory
- Nature Careers
- SUNY University at Buffalo
- Stanford University
- U.S. Department of Energy (DOE)
- University of California
- University of California, Merced
- University of Kansas
- University of North Texas at Dallas
- University of Oregon
- Virginia Tech
- Yale University
- 11 more »
- « less
-
Field
-
Position Overview School / Campus / College: College of Arts and Sciences Organization: Physics Title: Postdoctoral Scholar - Institute for Nuclear Theory Position Details Position Description
-
for publishing. Investigates the feasibility of applying a wide variety of scientific principles and theories. Maintains substantial knowledge of state-of-the-art principles and theories. Develops advanced
-
students. More information about the Larsson group can be found at https://larsson-research.de/ . Some relevant publications are: Wahyutama, Larsson, J. Chem. Theory Comput., 2024, https://doi.org/10.1021
-
evidenced by a strong publication record in one or more of the following areas: random matrix theory, stochastic processes, neural networks, machine learning, and sparse data structures • Proficiency in
-
Previous Job Job Title Post-Doctoral Associate (Gherghetta) Next Job Apply for Job Job ID 370493 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code
-
neurostimulators. Our team has deconstructed brain activity to discover the neural code responsible for the abnormality of walking in Parkinson’s disease and can predict debilitating freezing events that can cause
-
Organization U.S. Department of Energy (DOE) Reference Code DOE-FES-2026 How to Apply Completed applications are due to be to submitted in Zintellect on January 15, 2026. Applications are reviewed
-
that can directly take raw, high-dimensional data from experiments or observatories and rapidly infer theory parameters, such as Higgs boson properties at the Large Hadron Collider or neutron star properties
-
communications (ISaC) to network design using O-RAN; from statistical learning theory to software defined radio (e.g., USRP) prototypes. The Bradley Department of Electrical and Computer Engineering has both
-
on "Canalization and Other Design Principles of Gene Regulatory Network Models" (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2451973 ) and "A mathematical theory for the biological concept of modularity” (https