Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Oak Ridge National Laboratory
- University of Washington
- Stanford University
- Nature Careers
- University of North Carolina at Chapel Hill
- Argonne
- DePaul University
- University of Central Florida
- University of Minnesota
- AALTO UNIVERSITY
- Aalborg Universitet
- Aalborg University
- Eastern Kentucky University
- Forschungszentrum Jülich
- Imperial College London
- Indiana University
- Los Alamos National Laboratory
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Missouri University of Science and Technology
- NEW YORK UNIVERSITY ABU DHABI
- RIKEN
- SUNY University at Buffalo
- Stony Brook University
- Technical University of Munich
- Texas A&M University
- The Ohio State University
- University of Electronic Science and Technology of China (UESTC)
- University of Massachusetts
- University of Oklahoma
- University of Oslo
- University of Turku
- University of Virginia
- Vrije Universiteit Brussel
- Wageningen University and Research Center
- Western Norway University of Applied Sciences
- 26 more »
- « less
-
Field
-
accurate completion. Algorithm Design: Design and implement algorithms for tensor completion, considering the unique challenges posed by sparse and multidimensional network data. This involves developing
-
of Physics and Astronomy. AIPAD tackles the above questions by developing two innovative AI algorithms: The first algorithm will infer full SEP pitch-angle distributions (PADs) for spacecraft measurements
-
wide range of resources and is mostly not publicly available. While sharing proprietary data to train machine learning models is not an option, training models on multiple distributed data sources
-
technology and develop human resources. The AI Computing Team explores the design and realization method of advanced machine learning systems by working across multiple layers, including circuits, devices
-
methods to improve the deployment, adaptation capabilities and safety of robots and critical infrastructures. The developed algorithms will be evaluated on legged robots, wheel-based robots and under
-
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
-
| 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
-
develop signal processing algorithms to characterize structural health in microreactors and other advanced nuclear reactor technologies. Metrics for success will include scientific output, disseminating
-
training algorithms and AI architecture. Image reconstruction, segmentation, and classification. High performance computing for spatiotemporal data. Major Duties/Responsibilities: Develop foundation AI
-
of the AI algorithms. Key duties Develop a robust framework to simulate streamflow decomposed into fast-flow and baseflow at multiple Moroccan watersheds. The candidate would have to test various fast-flow