67 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"St" research jobs in United States
Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Florida International University
- Oak Ridge National Laboratory
- University of Washington
- Stanford University
- University of North Carolina at Chapel Hill
- Carnegie Mellon University
- George Washington University
- Harvard University
- Marquette University
- The Ohio State University
- The University of Arizona
- University of Central Florida
- University of Michigan
- University of Texas at Austin
- AbbVie
- Argonne
- Dana-Farber Cancer Institute
- DePaul University
- Eastern Kentucky University
- Florida Atlantic University
- George Mason University
- Los Alamos National Laboratory
- National Aeronautics and Space Administration (NASA)
- 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 California Berkeley
- University of Maryland, Baltimore
- University of Massachusetts
- University of Michigan - Ann Arbor
- University of Oklahoma
- University of Virginia
- Zintellect
- 26 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
-
collected as part of the clinical trial. Develop and implement analysis algorithms for collected data. 7. Dissemination: Help the research team to develop reports of study results. Required Knowledge, Skills
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
supporting multiple probes simultaneously. Swarms also provide the usual benefits of multi-element array reception, namely robustness to single point failures and transmit/receive diversity. The downside
-
, focusing on intelligent sensor tasking and the automated identification and characterization of space objects in Earth orbits and cislunar environment using optical data. Contribute to the development
-
algorithms, and machine learning to solve complex aerospace engineering challenges. Developed and implemented AI-driven solutions for autonomous lunar and asteroid landings, as well as cislunar operations
-
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
-
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
-
, 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
-
. 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
-
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