Sort by
Refine Your Search
-
Listed
-
Employer
- Cornell University
- Rutgers University
- University of Maryland, Baltimore
- University of North Carolina at Chapel Hill
- Stony Brook University
- University of Washington
- Duke University
- SUNY Polytechnic Institute
- University of Utah
- University of Texas at Arlington
- University of Texas at Dallas
- Baylor College of Medicine
- Georgia Institute of Technology
- Indiana University
- National Renewable Energy Laboratory NREL
- North Carolina A&T State University
- Oak Ridge National Laboratory
- The University of Iowa
- University of Miami
- University of Nevada, Reno
- Zintellect
- 11 more »
- « less
-
Field
-
simulating/implementing quantum algorithms for field theories on quantum hardware. Appointment Detail: This post‑doctoral position is a full‑time, 12‑month appointment with annual renewal contingent
-
project integrates expertise across multiple levels—from circuits and architectures to algorithms, models, and systems—and includes opportunities for radiation testing at the NASA Space Radiation Laboratory
-
project integrates expertise across multiple levels—from circuits and architectures to algorithms, models, and systems—and includes opportunities for radiation testing at the NASA Space Radiation Laboratory
-
grid planning. Design and code efficient algorithms for large-scale optimization problems using the Julia programming language and packages such as JuMP.jl. Experience with Xpress and Gurobi are a plus
-
, containerization (Docker), Kubernetes API development and web-based analytics tools Systems, Optimization, and AI ML/AI for mobility prediction and optimization Graph algorithms, network science Spatiotemporal
-
algorithms for the next generation of particle physics experiments and also explores other ways AI can accelerate scientific discovery. The group collaborates closely with computer scientists, astrophysicists
-
computing and scalable algorithms • Decision science and learning health systems design Qualifications Required: • Ph.D. in Systems Engineering, Industrial Engineering, Operations Research, Computer Science
-
, Optimization, and AI • ML/AI for mobility prediction and optimization • Graph algorithms, network science • Spatiotemporal modeling • Operational research for mobility and infrastructure • Real-World Practice
-
predictive analytics Human factors, behavior science, and patient-centered design Advanced computing and scalable algorithms Decision science and learning health systems design Qualifications Required: Ph.D
-
, computer vision and machine learning algorithms. · Information dissemination and decision-support services · Policy related analysis and investigation · Previous interactions with transportation funding