Sort by
Refine Your Search
-
Listed
-
Employer
- Argonne
- Stanford University
- Oak Ridge National Laboratory
- University of North Carolina at Chapel Hill
- Brookhaven Lab
- Stony Brook University
- Texas A&M 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
- Nature Careers
- Northeastern University
- Pennsylvania State University
- Carnegie Mellon University
- Indiana University
- National Aeronautics and Space Administration (NASA)
- National Renewable Energy Laboratory NREL
- 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
- Harvard University
- 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 Southern California
- University of Texas at Dallas
- University of Virginia
- Washington University in St. Louis
- 50 more »
- « less
-
Field
-
this role you will work on some of the most challenging scientific problems facing the Department of Energy, creating new algorithms, tools, and technologies to facilitate knowledge discovery. The rate of
-
. Understanding of machine learning algorithms (gradient descent, random forests, etc.) and deep neural network architectures (ResNet and Transformers). A broad understanding of machine learning methodologies and
-
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
-
algorithms for solving the targeted problem or hypothesis Conduct literature review for future projects. Assist with future funded projects as needed. Participate in manuscript development and publication
-
algorithms for solving the targeted problem or hypothesis Conduct literature review for future projects. Assist with future funded projects as needed. Participate in manuscript development and publication
-
Detection: Develop and implement algorithms for identifying oscillations in the grid and extracting important oscillation modes (frequency, damping, etc.). System Strength Analysis: Use system metrics like
-
multispectral data, running necessary algorithms, validating outputs, and analyzing results. Candidates can familiarize themselves with the previous version of the model using the open-access code https
-
with a highly competitive salary. Essential Duties and Responsibilities: Conduct research and develop novel AI/ML algorithms and solutions. Disseminate research findings in publications, posters, project
-
, and evaluate ML and NLP algorithms for scientific and security applications. Work in interdisciplinary collaborations with subject matter experts from a variety of domain sciences and security areas
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
looking for a postdoctoral fellow interested in developing either machine learning algorithms for high-resolution histopathology imaging/spatial-profiling data in combination with other modalities (e.g