54 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"St" Postdoctoral positions
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Oak Ridge National Laboratory
- University of Washington
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Stanford University
- University of North Carolina at Chapel Hill
- George Washington University
- Nature Careers
- Technical University of Munich
- The University of Arizona
- University of Central Florida
- Aalborg Universitet
- Argonne
- DePaul University
- Eastern Kentucky University
- Forschungszentrum Jülich
- Imperial College London
- Los Alamos National Laboratory
- National Aeronautics and Space Administration (NASA)
- RIKEN
- Stony Brook University
- Texas A&M University
- The Ohio State University
- University of California Berkeley
- University of Massachusetts
- University of Oklahoma
- University of Virginia
- Vrije Universiteit Brussel
- Wageningen University & Research
- Wageningen University and Research Center
- Western Norway University of Applied Sciences
- 20 more »
- « less
-
Field
-
training algorithms and AI architecture. Image reconstruction, segmentation, and classification. High performance computing for spatiotemporal data. Major Duties/Responsibilities: Develop foundation AI
-
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
-
| 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
-
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
-
develop signal processing algorithms to characterize structural health in microreactors and other advanced nuclear reactor technologies. Metrics for success will include scientific output, disseminating
-
across AI, incorporating insights from algorithm development, systems engineering and architecture, human psychology, sociology, law, science and technology studies, economics, and policy studies. Faculty
-
across AI, incorporating insights from algorithm development, systems engineering and architecture, human psychology, sociology, law, science and technology studies, economics, and policy studies. Faculty
-
Models with Algorithmic Reasoning Tasks We are seeking a postdoctoral researcher to contribute to our lab’s mission of aligning machine learning (ML) models with algorithmic reasoning tasks. Our goal is to
-
magnetometry measurement and analysis of the Nab spectrometer magnetic fields, help develop the BL3 DAQ and algorithms, carry out Monte Carlo simulations for Nab and BL3, and help undergraduates at EKU finish
-
Description The Quantum Information team at UMass Amherst is involved with modeling and optimization of quantum hardware, as well as development of new modeling methods and algorithms, in collaboration with