Sort by
Refine Your Search
-
Listed
-
Employer
- Argonne
- Stanford University
- Oak Ridge National Laboratory
- University of North Carolina at Chapel Hill
- Brookhaven Lab
- Texas A&M University
- Stony Brook University
- University of Central Florida
- University of Maryland, Baltimore
- University of Washington
- DePaul University
- Pennsylvania State University
- The Ohio State University
- Baylor College of Medicine
- Northeastern University
- The University of Arizona
- University of Houston Central Campus
- University of Minnesota
- Virginia Tech
- Carnegie Mellon University
- Indiana University
- National Aeronautics and Space Administration (NASA)
- National Renewable Energy Laboratory NREL
- Nature Careers
- University of California, Merced
- University of Kansas
- University of North Texas at Dallas
- University of Oklahoma
- University of Southern California
- University of Texas at Arlington
- University of Virginia
- Washington University in St. Louis
- Yale University
- Broad Institute of MIT and Harvard
- California Institute of Technology
- Cornell University
- Duke University
- Embry-Riddle Aeronautical University
- Fred Hutchinson Cancer Center
- Harvard University
- Iowa State University
- Lawrence Berkeley National Laboratory
- Los Alamos National Laboratory
- Louisiana State University
- Michigan Technological University
- New York University
- Purdue University
- SUNY University at Buffalo
- Texas A&m Engineering
- University of California
- University of California Irvine
- University of Colorado
- University of Delaware
- University of Florida
- University of Massachusetts
- University of Miami
- University of Notre Dame
- University of Texas at Dallas
- 48 more »
- « less
-
Field
-
Department: Physics Salary: Commensurate with Experience/Education Description: Possesses, understands, and applies a comprehensive knowledge in area of specialization. Develops understanding and
-
learning algorithms into professional software with an intuitive user interface, incorporating feedback from CHWs through iterative design and evaluation cycles. The selected candidate will be part of a
-
position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments. These methods will accelerate
-
external) provides algorithmic and data-driven solutions providing fairer access to public educational resources. The lab enables school districts to optimize large-scale equitable resource allocation
-
unravel the complex relationships between land use changes and fire regimes over the past 60 years. The successful candidate will lead efforts to: Develop advanced deep learning algorithms for classifying
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
of models and observational data using Python, Matlab, R, etc. Expertise required in developing new models, algorithms for dispersion, gas-phase chemistry and/or aerosol microphysics model Preferred
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
) strong communication skills – written and oral, c) ability to develop/translate model algorithms and develop new model code in Fortran, d) software skills needed to work with multiple observed and model
-
molecular biology. This research opportunity will be focused primarily on developing tightly integrated sequencing experiments and computational algorithms to characterize biomolecular interactions with high
-
omics to advance biological and clinical discoveries and develop next-generation theragnostics. The postdoctoral fellows will mainly focus on (1) creating novel computational algorithms to analyze and
-
PV inverters), synchronous generators, loads, etc. Develop simulation algorithms that enable large-scale simulations. Integrate (or co-simulate) grid component/device models into open-source software