Sort by
Refine Your Search
-
Employer
- Stanford University
- University of Minnesota
- University of North Carolina at Chapel Hill
- Wayne State University
- Oak Ridge National Laboratory
- Pennsylvania State University
- Argonne
- Cornell University
- Harvard University
- University of Florida
- Duke University
- New York University
- Northeastern University
- University of Miami
- University of Washington
- Yale University
- Baylor College of Medicine
- Carnegie Mellon University
- Helmholtz Association of German Research Centres
- National Energy Technology Laboratory (NETL)
- Stony Brook University
- The Ohio State University
- The University of Iowa
- University of Texas at Arlington
- Baylor University
- Massachusetts Institute of Technology
- Texas A&M AgriLife
- Texas A&M University
- U.S. Department of Energy (DOE)
- University of California
- Virginia Tech
- East Carolina University
- Indiana University
- Lehigh University
- Michigan State University
- Missouri University of Science and Technology
- National Aeronautics and Space Administration (NASA)
- Research Center for Molecular Medicine (CeMM), ÖAW
- South Dakota Mines
- Texas A&m Engineering
- The University of Arizona
- University of California Berkeley
- University of California Irvine
- University of Illinois at Chicago
- University of Maryland, Baltimore
- University of Massachusetts Chan Medical School
- University of Nebraska Medical Center
- University of New Hampshire
- University of New Hampshire – Main Campus
- University of North Carolina at Charlotte
- University of South Carolina
- University of Southern California
- University of Virginia
- Washington University in St. Louis
- 44 more »
- « less
-
Field
-
heterogeneity in cancer, inflammation, and tissue senescence. • Developing next-generation deep-learning and statistical deconvolution methods for inferring gene regulation from bulk, single-cell, and spatial
-
of ways. CURA’s work ranges from community engaged research to leadership development. Our varied programs seek to develop deep partnerships with community collaborators and acknowledge the expertise
-
field Demonstrated expertise in one or more of the following areas: Machine/deep learning, artificial intelligence, statistical modeling, or computational modeling Human neuroimaging analysis, including
-
deep expertise in modern machine learning and a strong record of research accomplishment who are excited to advance foundation models, agentic systems, and new AI approaches for high-impact scientific
-
on track to complete all PhD requirements by the expected start date of October 15, 2026. Demonstrated expertise in modern AI/ML, including deep learning and hands-on experience with frameworks such as
-
: ● Applicants must have a PhD in Computer Science or related field, with no more than five years post receipt of the PhD. ● Experience in one or more ML domains, such as deep learning, reinforcement learning
-
communications, orthogonal time frequency space modulation, radar/sonar signal processing, and machine and deep learning. WORK PERFORMING: Individual will perform research generally in the area of statistical
-
the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence, collaboration, integrity, diversity and inclusion
-
Missouri University of Science and Technology | Rolla, Missouri | United States | about 2 months ago
inquisitive nature with a deep knowledge of many components listed in this posting and a strong desire for continual learning and growth professionally. We invite candidates to submit an application if able
-
, Computer Science or a related quantitative field. Strong background in machine learning and statistical modeling, with experience in deep learning frameworks (e.g., PyTorch or TensorFlow). Familiarity with modern