Sort by
Refine Your Search
-
Listed
-
Employer
- Stanford University
- Argonne
- Stony Brook University
- Brookhaven Lab
- Oak Ridge National Laboratory
- Pennsylvania State University
- University of North Carolina at Chapel Hill
- Texas A&M University
- University of Maryland, Baltimore
- University of Washington
- Cornell University
- The Ohio State University
- University of Houston Central Campus
- DePaul University
- Indiana University
- Nature Careers
- New York University
- Yale University
- Baylor College of Medicine
- National Aeronautics and Space Administration (NASA)
- Northeastern University
- University of California, Merced
- University of Central Florida
- University of North Texas at Dallas
- University of Oklahoma
- University of Southern California
- University of Virginia
- Virginia Tech
- Washington University in St. Louis
- 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
- Hanyang University
- Harvard University
- Los Alamos National Laboratory
- Michigan Technological University
- Missouri University of Science and Technology
- National Renewable Energy Laboratory NREL
- Ohio University
- Purdue University
- SUNY University at Buffalo
- Shanghai Jiao Tong University
- Texas A&M AgriLife
- The University of Arizona
- The University of Iowa
- University of Arizona
- University of California Davis
- University of California Irvine
- University of Dayton
- University of Delaware
- University of Massachusetts
- University of Minnesota
- University of Notre Dame
- University of Texas at Arlington
- University of Texas at Dallas
- 49 more »
- « less
-
Field
-
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
-
University. This research opportunity will be focused primarily on the development and application of novel computational algorithms to analyze and integrate diverse omics datasets, including single-cell RNA
-
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
-
Description NREL is seeking a postdoc to design, train, and analyze the AI/ML and control algorithms for hybrid energy systems including industrial systems, building controls, and advanced energy systems
-
not required as part of this position. Required Qualifications: Strong mathematical background, including expertise in one or more of the following areas: machine learning, statistics, and algorithms
-
optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
-
molecular biology. This research opportunity will be focused primarily on developing tightly integrated sequencing experiments and computational algorithms to characterize biomolecular interactions with high
-
skills to bear as you develop new methods to address scientific and engineering problems, collaborate with leaders in your field and across the laboratory, while working with the world’s fastest computers
-
single-cell sequencing, spatial transcriptomics, and machine learning algorithms to to understand, at the tissue and organ level, how specific cellular communications—from synaptic connectivity to neural
-
computer science knowledge. Preferred Knowledge, Skills, and Abilities: Practical experience developing novel AI/ML algorithms and models. Knowledge about hardware architectures, compilers, neural network