Sort by
Refine Your Search
-
Listed
-
Employer
- Harvard University
- Nature Careers
- Simons Foundation/Flatiron Institute
- Northeastern University
- Carnegie Mellon University
- Lawrence Berkeley National Laboratory
- Simons Foundation
- University of Michigan
- Genentech
- George Mason University
- Korea Institute for Advanced Study
- University of California
- University of Maryland, Baltimore
- University of Michigan - Ann Arbor
- University of Texas at Austin
- AbbVie
- Dana-Farber Cancer Institute
- Drexel University
- Embry-Riddle Aeronautical University
- Florida Atlantic University
- Indiana University
- Massachusetts Institute of Technology
- Oak Ridge National Laboratory
- Simons Foundation;
- Stanford University
- The University of Alabama
- The University of North Carolina at Chapel Hill
- University of Cincinnati
- University of Michigan - Flint
- University of North Carolina at Chapel Hill
- Zintellect
- 21 more »
- « less
-
Field
-
, scientific computation, scientific software and algorithm development, mathematical modeling, data analysis and inference, and image analysis Ability to do original and outstanding research in computational
-
algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software
-
& Other Requirements Demonstrated abilities in mathematical modeling, analysis and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis
-
-photonic computing architectures; Silicon-photonic network architectures Machine Learning Algorithms/Systems: Experience in design and use of ML algorithms; Experience in using ML for designing computing
-
—specifically fine particulate matter, heat, and humidity—in Philadelphia neighborhoods. The fellow will extend existing research in AI- and data-driven modeling of building systems by developing algorithms and
-
datasets and interpret results, Design and implement state-of-the-art machine learning models, algorithms, and statistical models, Participate in literature searches, report writing and manuscript
-
, and data analysis for human subjects research. · Develop and apply computational models and algorithms to support robotic augmentation studies. · Contribute to manuscript preparation and dissemination
-
, to enable scalable quantum algorithm development and quantum-HPC codesign. What is Required: PhD in Computer Science, Computational Science, Applied Mathematics, or a related field awarded within the last
-
opportunities exist at the intersection of mathematics, computer science, statistics, and their scientific applications, with the lines between theory, algorithm development and software implementation often
-
Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 13 hours ago
, reinforcement learning, and computational game theory to address this gap. Fellows will contribute to advancing the next generation of models, algorithms, and system architectures for autonomous systems, multi