Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Oak Ridge National Laboratory
- Pennsylvania State University
- Northeastern University
- Argonne
- Baylor College of Medicine
- Cornell University
- National Aeronautics and Space Administration (NASA)
- University of Maryland, Baltimore
- University of North Carolina at Chapel Hill
- University of Washington
- Rutgers University
- Stanford University
- Yale University
- Carnegie Mellon University
- George Washington University
- Lawrence Berkeley National Laboratory
- New York University
- Texas A&M University
- University of Minnesota
- Duke University
- Indiana University
- Massachusetts Institute of Technology
- National Energy Technology Laboratory (NETL)
- SUNY University at Buffalo
- South Dakota Mines
- Texas A&M AgriLife
- University of California Irvine
- University of Florida
- University of New Hampshire
- University of Texas at Arlington
- University of Texas at Dallas
- Boston University
- Broad Institute of MIT and Harvard
- Brookhaven National Laboratory
- CNRS
- California Institute of Technology
- Harvard University
- Lehigh University
- Purdue University
- Rochester Institute of Technology
- Sandia National Laboratories
- Stony Brook University
- Technical University of Munich
- Texas A&m Engineering
- The University of Arizona
- 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
- 49 more »
- « less
-
Field
-
computing and artificial intelligence. Areas of interest include, but are not limited to, the following: Quantum Machine Learning and AI: Develop novel quantum algorithms and computational frameworks
-
University We are looking for a highly motivated postdoctoral researcher with a strong interest in optimization. The position will involve the development of novel reformulation and algorithmic methods
-
was created to advance research in the mathematical, algorithmic, and statistical foundations of data science and their application to other disciplines. In addition to providing support to core foundational
-
. Develop algorithms to identify specific seabed characteristics. Conduct independent research related to underwater active acoustics and seabed sensing. Collaborate with researchers from academia, industry
-
, and development of algorithms for real-world clinical data. The fellow will have the opportunity to work with clinicians, engineers, data scientists, trainees, and research staff in a highly
-
machine learning techniques to raw ultrasound data. The project involves developing novel algorithms that integrate physics, engineering, and AI to extract meaningful and clinically relevant information
-
, etc. - ML-augmented numerical method development. - High-performance computing (HPC). - Quantum algorithm design. - Error correction or error mitigation. City
-
). Experience in the application and development of computational methods/tools or machine learning algorithms. Good computer programming skills in R/Matlab/PerlPython. Knowledge of basic molecular biology
-
. · Developing and implementing computationally intensive algorithms using high-performance computing (HPC) clusters. · Managing and analyzing multiple large-scale datasets, including UK Biobank (UKBB
-
mechanics, machine learning or applied/computational mathematics. ● Demonstrated ability to carry out original mathematical derivations and/or develop computational tools, evidenced by publications