Sort by
Refine Your Search
-
Listed
-
Employer
- Oak Ridge National Laboratory
- Pennsylvania State University
- National Aeronautics and Space Administration (NASA)
- Northeastern University
- Cornell University
- Argonne
- Baylor College of Medicine
- University of Maryland, Baltimore
- University of North Carolina at Chapel Hill
- University of Washington
- Yale University
- Rutgers University
- Stanford University
- Carnegie Mellon University
- Duke University
- George Washington University
- Lawrence Berkeley National Laboratory
- New York University
- Texas A&M University
- University of Minnesota
- Boston University
- 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
- University of California Irvine
- University of Florida
- University of New Hampshire
- University of Texas at Arlington
- University of Texas at Dallas
- Broad Institute of MIT and Harvard
- Brookhaven National Laboratory
- California Institute of Technology
- Harvard University
- Johns Hopkins University
- Lehigh University
- Princeton University
- Purdue University
- Rochester Institute of Technology
- Sandia National Laboratories
- Texas A&m Engineering
- 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
- 51 more »
- « less
-
Field
-
, including prediabetes, type 1 and 2 diabetes, and non-alcoholic fatty liver disease (NAFLD). Their research informs artificial pancreas algorithms and contributes to drug development targeting hepatic
-
Equation, Stochastic simulation algorithms, and approximation methods. ● Experience with single-cell or spatial transcriptomic data analysis. ● Familiarity with machine learning and deep learning
-
include the porting of lattice QCD libraries to the Exascale Architectures (e.g. Frontier at OLCF) and/or emerging programming models (HIP, SYCL, Kokkos, etc), software optimization and/or algorithmic
-
. Responsibilities: Conduct research on automated reasoning and proof checker, AI-assisted collaboration. Develop and analyze algorithms for learning and optimization. Participate in collaborative research projects
-
Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
, scientific computation, scientific software and algorithm development, and data analysis; demonstrated ability to conduct original, high-quality research in computational fluid dynamics and/or computational
-
Researcher position. The selected candidate will work on research and development for testing, analysis, and integration of AI and machine learning (ML) algorithms in new simulation and training architectures
-
-free algorithms for real-time optimization of turbine operating conditions (e.g., yaw set points). Other projects may be assigned by the supervisor depending on skills and technical needs. The successful
-
). 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
-
skills, including generalized linear models, multiple machine‑learning algorithms, MOFA and multi‑omics pathway analysis. · Strong background in experimental design, quantitative data analysis, and
-
evaluation of machine learning, computer vision, and other algorithms, primarily in the context of health. They will be part of the thriving research community of Duke Spark (spark.duke.edu) where AI