Sort by
Refine Your Search
-
Listed
-
Employer
- Northeastern University
- National Aeronautics and Space Administration (NASA)
- Pennsylvania State University
- Cornell University
- George Washington University
- Rutgers University
- Stanford University
- University of Washington
- New York University
- University of North Carolina at Chapel Hill
- Argonne
- Indiana University
- South Dakota Mines
- University of California Irvine
- University of Florida
- University of Texas at Arlington
- University of Texas at Dallas
- University of Utah
- Yale University
- Boston University
- Brookhaven National Laboratory
- California Institute of Technology
- Lawrence Berkeley National Laboratory
- Massachusetts Institute of Technology
- SUNY University at Buffalo
- Sandia National Laboratories
- The University of Arizona
- Tufts University
- University of Arkansas
- University of Central Florida
- University of Colorado
- University of Illinois at Chicago
- University of Minnesota
- University of Pittsburgh
- Villanova University
- Virginia Tech
- Washington State University
- 27 more »
- « less
-
Field
-
/or R. Develop, maintain, and implement custom scripts for data acquisition, processing, and analysis as well as machine learning algorithms and techniques to classify and predict outcomes based
-
develop optical interconnects between different types of qubit systems. The goal of the project is to demonstrate a quantum network that enables remote entanglement and quantum teleportation between atomic
-
A postdoctoral position is immediately available at the Advanced Photon Source (APS) at Argonne National Laboratory. The successful candidate will contribute to the development of ultrafast
-
algorithm design skills Expertise on ML tools for chemistry, in particular, generative AI Experience with Python, ML, and AI for chemical applications Job Description: A Post-doctoral Associate in Theoretical
-
an interdisciplinary research team developing an AI-enabled framework that translates high-level mission objectives into deployable communications signal-processing (DSP) solutions. The role combines
-
in innovative research projects in ML, focusing on developing novel ML algorithms, enhancing human-AI collaboration, and exploring systems tailored to dynamic, human-centered environments. They may
-
of accomplishments (e.g., peer-reviewed publications and/or patents). Key Responsibilities & Accountabilities: Algorithm Development, Data Analysis and Communication: Effectively design, implement, and evaluate
-
& Engineering, or a closely related engineering discipline, with strong emphasis on high-fidelity CFD Experience in advanced CFD solver development, algorithm improvement, and numerical methods for highly coupled
-
systems in firmware algorithm development and simulation. We are also active in R&D using AI in custom electronics as well as in distributed computing. The Pitt ATLAS Group is led by Professors Joe Boudreau
-
system, Food Compass , under the mentorship and guidance of Institute Director Dr. Dariush Mozaffarian . Bringing together research, training, patient services, policy development, and community engagement