Sort by
Refine Your Search
-
Listed
-
Employer
- Argonne
- Stanford University
- University of North Carolina at Chapel Hill
- Oak Ridge National Laboratory
- National Aeronautics and Space Administration (NASA)
- Brookhaven Lab
- Texas A&M University
- Stony Brook University
- The Ohio State University
- The University of Arizona
- University of Central Florida
- University of Maryland, Baltimore
- Cornell University
- DePaul University
- University of Washington
- Baylor College of Medicine
- Northeastern University
- Pennsylvania State University
- Carnegie Mellon University
- Harvard University
- Indiana University
- National Renewable Energy Laboratory NREL
- Nature Careers
- University of California, Merced
- University of Houston Central Campus
- University of Kansas
- University of North Texas at Dallas
- University of Oklahoma
- University of Texas at Arlington
- Virginia Tech
- Yale University
- Boston University
- Broad Institute of MIT and Harvard
- California Institute of Technology
- Cold Spring Harbor Laboratory
- Duke University
- Embry-Riddle Aeronautical University
- Fred Hutchinson Cancer Center
- Iowa State University
- Lawrence Berkeley National Laboratory
- Los Alamos National Laboratory
- Louisiana State University
- Michigan Technological University
- Purdue University
- Shanghai Jiao Tong University
- Texas A&m Engineering
- The University of Chicago
- The University of Iowa
- University of Arizona
- University of California
- University of California Irvine
- University of Colorado
- University of Dayton
- University of Delaware
- University of Florida
- University of Massachusetts
- University of Miami
- University of Southern California
- University of Texas at Dallas
- University of Virginia
- Washington University in St. Louis
- 51 more »
- « less
-
Field
-
that incorporate latest machine-learning algorithms). Furthermore, the successful candidate will collaborate broadly with the other members of IO and CFN, leveraging their expertise in design and fabrication
-
computational models and systems using algorithms and analytics for materials and related physical sciences for a broad range of energy, transportation, and advanced manufacturing applications. Major Duties
-
systems. Includes establishing medical reasoning benchmarks and automated / scalable evaluation methods. Developing recommender algorithms to predict specialty care with large-language model based user
-
sensor networks, robotics, energy, and Smart Cities • Network systems and economics, cooperative control and optimization, game theory • Distributed algorithms for decision making • Machine learning and
-
research proposal development. Responsibilities Research- Independently perform research within the multidisciplinary collaborative groups in Operational Data Science Lab. Research computer vision algorithms
-
moisture, and terrestrial water storage change over Arizona under historical periods and future climates. Developing new ET products over Arizona with innovative algorithms and remote-sensing data
-
the readout manufacturer to adapt and refine the high-speed readout electronics and synchronization system for efficient electron detection. Implement and test real-time processing algorithms for high
-
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
-
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
-
molecular biology. This research opportunity will be focused primarily on developing tightly integrated sequencing experiments and computational algorithms to characterize biomolecular interactions with high