120 distributed-algorithm-"Newcastle-University" Fellowship positions in United States
Sort by
Refine Your Search
-
Listed
-
Employer
- Harvard University
- University of Texas Rio Grande Valley
- Nature Careers
- Northeastern University
- Simons Foundation/Flatiron Institute
- Carnegie Mellon University
- University of California
- Colorado State University
- Lawrence Berkeley National Laboratory
- Genentech
- Simons Foundation
- University of Michigan
- University of Michigan - Ann Arbor
- George Mason University
- Korea Institute for Advanced Study
- University of Florida
- University of Maryland, Baltimore
- University of Texas at Austin
- Zintellect
- AbbVie
- Boston College
- Central Michigan University
- Dana-Farber Cancer Institute
- Drexel University
- Embry-Riddle Aeronautical University
- Florida Atlantic University
- Indiana University
- Massachusetts Institute of Technology
- Oak Ridge National Laboratory
- SUNY Polytechnic Institute
- Simons Foundation;
- Stanford University
- The University of North Carolina at Chapel Hill
- University of California Davis
- University of Cincinnati
- University of Idaho
- University of Maryland
- University of Michigan - Flint
- University of North Carolina at Chapel Hill
- Wayne State University
- 30 more »
- « less
-
Field
-
Details Title Postdoctoral Fellow in Forecasting Species Distributions of Medicinal Plants School Faculty of Arts and Sciences Department/Area Organismic and Evolutionary Biology Position
-
—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
-
templates for distributed AI training, agentic AI with modeling and simulation, and end-to-end workflow monitoring, profiling, and optimization. Working with quantum simulation tools, including NVIDIA CUDA-Q
-
for distributed AI training, agentic AI with modeling and simulation, and end-to-end workflow monitoring, profiling, and optimization. Working with quantum simulation tools, including NVIDIA CUDA-Q, to enable
-
publication, conferences, and/or software distribution. Fellows receive a generous travel and research budget, and have access to the institute's powerful scientific computing resources. Tremendous
-
learning algorithms. We combine statistical methods with online reinforcement learning algorithms to develop reinforcement learning algorithms and inferential tools. The successful applicant will be expected
-
, analysis and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology
-
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
-
questions in quantum information science, and to guide near-term hardware and algorithm co-design. What You Will Do: Specialized research in conception and execution of quantum algorithms on superconducting
-
. 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