65 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"Prof" research jobs in United States
Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Florida International University
- University of Washington
- Oak Ridge National Laboratory
- University of North Carolina at Chapel Hill
- Stanford University
- The Ohio State University
- Carnegie Mellon University
- DePaul University
- Harvard University
- Johns Hopkins University
- University of Central Florida
- University of Michigan
- University of Texas at Austin
- AbbVie
- Argonne
- Dana-Farber Cancer Institute
- Eastern Kentucky University
- Florida Atlantic University
- George Mason University
- Los Alamos National Laboratory
- Marquette University
- Missouri University of Science and Technology
- Nature Careers
- Northeastern University
- Stony Brook University
- Texas A&M University
- The Chinese University of Hong Kong
- The University of Chicago
- University of Alabama at Birmingham
- University of Maryland, Baltimore
- University of Massachusetts
- University of Michigan - Ann Arbor
- University of Oklahoma
- University of Virginia
- Zintellect
- 25 more »
- « less
-
Field
-
algorithms for behavioral cue extraction and novel approaches for the modeling people interaction, with application to medical research and affective computing. Responsibilities: Write code and develop novel
-
, and tumor evolution. The Collins Genomics Lab is an interdisciplinary and highly collaborative laboratory with diverse scientists from various scientific domains leading exciting cancer research
-
large quantities of data to gain a greater understanding of our systems and develop data analytics and artificial intelligence algorithms. You will be actively engaged in the research and development
-
solid coding skills and hands-on experience with Python for implementing models and analyzing data. Responsibilities include assisting in developing algorithms, running simulations, analyzing results, and
-
postdoctoral scholars, working on the development of a core, scalable methodology. This methodology leverages existing spatial data on landscapes, fire behavior, and fuel treatments to evaluate real-world
-
existing algorithms and design improved methodologies for clinical applications. Purpose To support research in AI for healthcare and drug discovery by conducting data-driven experiments and developing
-
. Researching and developing novel machine learning architectures for integration across multiple types of high-dimensional data. Researching and implementing novel algorithms for analysis of latent factors and
-
| Mechanical and Aerospace Engineering Perform basic research in computational fluid dynamics, including problem setup, simulation and advanced post-processing for multiple projects. Emphasis to be placed
-
training algorithms and AI architecture. Image reconstruction, segmentation, and classification. High performance computing for spatiotemporal data. Major Duties/Responsibilities: Develop foundation AI
-
develop signal processing algorithms to characterize structural health in microreactors and other advanced nuclear reactor technologies. Metrics for success will include scientific output, disseminating