Sort by
Refine Your Search
-
Listed
-
Employer
- Oak Ridge National Laboratory
- Argonne
- Stanford University
- Cornell University
- National Aeronautics and Space Administration (NASA)
- University of Maryland, Baltimore
- Duke University
- Stony Brook University
- Carnegie Mellon University
- Texas A&M University
- University of Minnesota
- University of North Carolina at Chapel Hill
- University of Nebraska Medical Center
- Baylor College of Medicine
- Brookhaven National Laboratory
- George Washington University
- Harvard University
- Nature Careers
- Princeton University
- SUNY Polytechnic Institute
- Texas A&M AgriLife
- The University of Arizona
- University of Central Florida
- University of Colorado
- University of Miami
- University of Texas at Dallas
- University of Washington
- Argonne National Laboratory
- Bilkent University
- Broad Institute of MIT and Harvard
- Brown University
- California Institute of Technology
- Dartmouth College
- Episteme
- Fred Hutchinson Cancer Center
- Georgia Institute of Technology
- Indiana University
- Lawrence Berkeley National Laboratory
- Lehigh University
- Massachusetts Institute of Technology
- National Renewable Energy Laboratory NREL
- North Carolina A&T State University
- Northeastern University
- Rutgers University
- SUNY University at Buffalo
- The Ohio State University
- The University of North Carolina at Chapel Hill
- University at Buffalo
- University of California
- University of California Irvine
- University of Nevada, Reno
- University of New Hampshire – Main Campus
- University of North Carolina at Charlotte
- University of North Texas at Dallas
- University of Texas at Arlington
- University of Utah
- Zintellect
- 47 more »
- « less
-
Field
-
in Ithaca, NY with a focus on developing deep learning algorithms. Dr. Haiyuan Yu, Ph.D. is a Tisch University Professor of Computational Biology in the College of Agriculture and Life Sciences and a
-
harmonization, uncertainty characterization of existing metrics, algorithmic improvement for ET and GPP products, development of novel remote sensing products. Leveraging remote sensing for societally relevant
-
Postdoctoral Associate to join a multidisciplinary research team focused on developing energy-efficient and fault-tolerant AI systems that can operate reliably in the radiation-rich environment of space. The
-
between various imaging modalities and multi-omics during aging and development. • Implementing computationally intensive algorithms on high-performance computational clusters
-
into the brain's algorithms of perception and cognition while serving as a key resource for aligning artificial intelligence models with human-like neural representations. As part of this project, we are seeking
-
for transmission or distribution grids, synchronous generators, large loads, transmission networks, etc. Develop simulation algorithms that enable large-scale simulations. Integrate (or co-simulate) grid component
-
algorithms for the evolution of inorganic aerosols in the atmosphere, building upon the research group's efforts in modeling combustion-generated aerosols. These modeling framework will be used to understand
-
routine background checks. Essential Duties and Responsibilities Neuroimaging data collection and management Data analysis and model building Develop advanced deep learning and machine learning algorithms
-
thermal-fluid discoveries. Postdoctoral Fellow (”"postdoc"") is a professional apprenticeship designed to provide recent Ph.D. recipients with an opportunity to develop further the research skills acquired
-
, curate, and analyze field measurement datasets and associated environmental and economic information for model parameterization and validation. Develop or enhance model algorithms simulating carbon and