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 Cincinnati
- Genentech
- George Mason University
- Simons Foundation
- University of Alabama, Tuscaloosa
- University of Texas at Austin
- Zintellect
- Central Michigan University
- Korea Institute for Advanced Study
- Miami University
- Simons Foundation/Flatiron Institute
- The University of Alabama
- University of Maryland, Baltimore
- AbbVie
- City of Hope
- Colorado State University
- Florida Atlantic University
- Marquette University
- Nature Careers
- New York University
- Open Society Foundations
- The Ohio State University
- 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 Oklahoma
- University of San Francisco
- Wayne State University
- 27 more »
- « less
-
Field
-
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
-
, 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
-
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
-
systems or systematics. Combining operators You can combine the operators above to fine-tune your results: +"artificial intelligence" algorithm +robot -machine → Shows results only if they include
-
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
-
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
-
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
-
analyzing large, multi-dimensional datasets. Experience with both spatial and temporal statistics, including experience with non-normally distributed data and statistical analyses including regressions, t
-
possession, use, and distribution of drugs and alcohol on campus and at university events and activities. This report also contains information on programs and policies designed to prevent and address sexual
-
software. Working Conditions Needs to be able to successfully perform all required duties. Office/research environment; some travel and weekend work is required. UTRGV is a distributed institution, which