Sort by
Refine Your Search
-
Listed
-
Employer
- New York University
- Cornell University
- Rutgers University
- University of North Carolina at Chapel Hill
- Stanford University
- University of South Carolina
- University of Texas at Arlington
- Nature Careers
- Loyola University
- University of Minnesota
- Brookhaven National Laboratory
- University of Washington
- Duke University
- National Aeronautics and Space Administration (NASA)
- SUNY Polytechnic Institute
- Boise State University
- Michigan State University
- Argonne
- Oak Ridge National Laboratory
- Pennsylvania State University
- Princeton University
- University of Colorado
- University of Idaho
- University of Nevada, Reno
- Argonne National Laboratory
- Indiana University
- SUNY University at Buffalo
- Texas A&M University
- The Ohio State University
- University of Connecticut
- University of Nevada Las Vegas
- University of Oregon
- University of Texas at Dallas
- University of Texas at Tyler
- University of Utah
- University of Virginia
- Auburn University
- Brown University
- Columbia University
- East Carolina University
- Harvard University
- Illinois Institute of Technology
- LIGO Laboratory
- Lawrence Berkeley National Laboratory
- Massachusetts Institute of Technology
- Massachusetts Institute of Technology (MIT)
- North Carolina State University
- Northeastern University
- Rice University
- Sandia National Laboratories
- Santa Clara University
- The University of Iowa
- The University of North Carolina at Chapel Hill
- University at Buffalo
- University of California
- University of California Berkeley
- University of California Irvine
- University of California, Merced
- University of Florida
- University of Houston
- University of Kentucky
- University of Maryland, Baltimore
- Vanderbilt University
- Villanova University
- Washington University in St. Louis
- 55 more »
- « less
-
Field
-
well as interpretability of scientific foundation models. The rush to build foundation models has led to the development of large machine learning models in Astrophysics, fluid dynamics, biology, weather prediction, solar
-
of machine learning researchers, engineers, and domain scientists. This collaborative environment offers a unique opportunity to work on cutting edge AI models, with a focus on generalization and
-
science, or a related field; experience with using and building machine learning models, developing and validating computational analysis workflows, and developing circuit models is preferred; excellent
-
. Candidates with experience in dimension reduction, deep learning, machine learning, modeling neuroimaging data are especially encouraged to apply. Excellent written and communication skills are required
-
surveillance and preparedness planning using multiple modeling approaches. The successful candidate will develop and implement statistical and machine-learning models, integrate multi-source ecological datasets
-
Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 1 month ago
independently; and ability to work as part of a tightly-knit team. PREFERRED: Experience with theoretical analysis, using and building machine learning models, and developing circuit models. 3/16/2026
-
The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
methodology, machine learning, and biomedical data science. Our research develops rigorous and interpretable methods for high-dimensional biomedical data, with applications spanning cancer genomics
-
The Chiu Lab (https://chiu-lab.org/ ) focuses on developing state-of-the-art multimodal AI models for cancer research. Our recent publications have been recognized by both the cancer research and
-
in dynamical systems modeling (ODEs) and machine learning and very strong programming skills (Java, Python). A background in evolutionary genomics research is a strong plus, as is previous experience
-
research, machine learning or artificial intelligence (e.g., large language models, EHR foundation models), causal inference (e.g., target trial emulation), and child health research. The research program