Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Oak Ridge National Laboratory
- Pennsylvania State University
- National Aeronautics and Space Administration (NASA)
- Northeastern University
- Baylor College of Medicine
- Argonne
- University of Maryland, Baltimore
- University of North Carolina at Chapel Hill
- Cornell University
- Rutgers University
- Stanford University
- Yale University
- University of Minnesota
- Broad Institute of MIT and Harvard
- Carnegie Mellon University
- Duke University
- George Washington University
- Lawrence Berkeley National Laboratory
- New York University
- Texas A&M University
- University of Washington
- Indiana University
- Massachusetts Institute of Technology
- National Energy Technology Laboratory (NETL)
- SUNY University at Buffalo
- South Dakota Mines
- Stony Brook University
- Texas A&M AgriLife
- Texas A&m Engineering
- University of California Irvine
- University of Florida
- University of New Hampshire
- University of Texas at Arlington
- University of Texas at Dallas
- Boston University
- Brookhaven National Laboratory
- CNRS
- California Institute of Technology
- Harvard University
- Johns Hopkins University
- Lehigh University
- Purdue University
- Rochester Institute of Technology
- Sandia National Laboratories
- Technical University of Munich
- The Ohio State University
- The University of Arizona
- The University of Iowa
- Tufts University
- University of Alabama at Birmingham
- University of Arkansas
- University of California
- University of Central Florida
- University of Illinois at Chicago
- University of Massachusetts Chan Medical School
- University of North Texas at Dallas
- University of Pittsburgh
- University of Utah
- University of Virginia
- Villanova University
- Virginia Tech
- Washington State University
- 52 more »
- « less
-
Field
-
of machine learning theories and algorithms; inter-disciplinary background; A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered
-
research Managing and analyzing data, implementing machine learning algorithms on data Conducting literature reviews Preparing presentations, manuscripts, and grant submissions Assisting with research
-
system stability. Candidate will also develop robust control strategies for inverter-based resources, and conduct hardware experiments and hardware-in-the-loop testing to validate the control algorithms
-
computational models, systems, and AI/ML tools using algorithms and analytics for materials and related physical sciences for a broad range of energy, transportation, and advanced manufacturing applications. In
-
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
-
for the quantum era. The successful candidate will conduct interdisciplinary research on topics including: Security of quantum algorithms, quantum software, and quantum networks Quantum-safe cybersecurity
-
the supervision of Dr. Jun Xu Develop high-quality models, algorithms, experiments, or integrated modeling-characterization frameworks Publish first-author papers in leading peer-reviewed journals Contribute
-
). - Quantum algorithm design. - Error correction or error mitigation. Certifications/Licenses Required Knowledge, Skills, and Abilities Strong background in quantum chemistry, computational physics
-
experimental cycle from real-time X-ray measurements to post-experiment reconstruction: Develop learning-enabled algorithms for 3D reconstruction of noisy and heterogeneous synchrotron datasets. Implement
-
the molecular biology of aging and neurodegenerative diseases. Engage in the development and testing/validation of new algorithms and their applications to transcriptomic, epigenomic, genetic, and proteomic data