Sort by
Refine Your Search
-
Listed
-
Employer
- Harvard University
- Northeastern University
- University of Cincinnati
- University of Texas at Austin
- Carnegie Mellon University
- George Mason University
- Johns Hopkins University
- Simons Foundation
- University of Michigan
- Genentech
- Korea Institute for Advanced Study
- Simons Foundation/Flatiron Institute
- University of Maryland, Baltimore
- AbbVie
- City of Hope
- Florida Atlantic University
- Marquette University
- Montana State University
- New York University
- The Ohio State University
- University of Alabama, Tuscaloosa
- University of Michigan - Ann Arbor
- University of Michigan - Flint
- University of North Carolina at Chapel Hill
- University of Oklahoma
- University of San Francisco
- 16 more »
- « less
-
Field
-
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 artificial intelligence
-
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
-
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
-
, 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
-
using high spatial resolution satellite imagery Exceptional written communication abilities Strong programming experience Familiarity with machine learning algorithms (e.g., DCNN, XGBoost, SVM, Neural
-
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
-
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
-
at intersections through real-time detection, classification, and tracking of vulnerable road users (VRUs) using advanced sensing technologies and artificial intelligence algorithms. The appointment is tentatively
-
in one or more of the following areas: algorithms, analytical derivation, data analysis, coding, or mathematical modeling. Strong programming skills are highly desired. The candidate should demonstrate
-
on the design, development, and realization of future communications technologies. You will be part of the team and contribute to ongoing developments in theory, algorithms and translation to practice in