100 distributed-algorithms-"Meta"-"Meta"-"Meta" Fellowship research jobs in United States
Sort by
Refine Your Search
-
Listed
-
Employer
- University of Texas Rio Grande Valley
- Harvard University
- Northeastern University
- University of Michigan
- Carnegie Mellon University
- Johns Hopkins University
- University of Alabama, Tuscaloosa
- University of Cincinnati
- Genentech
- George Mason University
- Simons Foundation
- The University of Alabama
- University of Texas at Austin
- Zintellect
- Central Michigan University
- Korea Institute for Advanced Study
- Miami University
- Simons Foundation/Flatiron Institute
- University of Maryland, Baltimore
- AbbVie
- City of Hope
- Colorado State University
- Florida Atlantic University
- Marquette University
- Nature Careers
- New York University
- Open Society Foundations
- University of Idaho
- University of Maryland
- University of Massachusetts
- University of Michigan - Ann Arbor
- University of Michigan - Flint
- University of North Carolina at Chapel Hill
- University of North Carolina at Charlotte
- University of San Francisco
- Wayne State University
- 26 more »
- « less
-
Field
-
be a central contributor to the project "Workplace Income Distribution by Social Class in the United States Manufacturing Sector, 1967-2022," whose principal investigators are Dr. Tali Kristal
-
applying interpretable AI / machine learning / deep learning / information-theoretic methods and algorithms in the context of multiscale biological networks, ranging from molecules (protein chemistry) to
-
distribution systems, EV charging modeling, distributed energy resources, optimization, control, machine learning, hardware-in-the-loop simulation. Expertise in programming languages such as Python, C
-
and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
-
, prediction, and decision support and automation. Additional duties include but are not limited to: Developing and refining algorithms and workflows for crop monitoring, modeling, prediction, and decision
-
discovery. This position in particular focuses on sequence-to-function deep genomics modeling, with the goal of developing performant models that make generalizable out-of-distribution predictions
-
. Combining operators You can combine the operators above to fine-tune your results: +"artificial intelligence" algorithm +robot -machine → Shows results only if they include artificial intelligence (as an
-
digital simulator from RTDS Technologies for generation and transmission systems modeling. A comprehensive set of SEL equipment for distribution system testing, including SEL-3555 RTAC, SEL-451, SEL-351
-
preferred, and this can take various forms: working with large model simulations or large data, compiled programming languages, algorithms, etc. The position is an especially good match for candidates
-
use of data and algorithms. Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders, e.g., academics, business executives