Sort by
Refine Your Search
-
Listed
-
Employer
- University of Texas Rio Grande Valley
- Harvard University
- Indiana University
- Missouri University of Science and Technology
- Carnegie Mellon University
- Northeastern University
- University of Cincinnati
- University of Michigan
- Johns Hopkins University
- Genentech
- George Mason University
- Simons Foundation
- The University of Alabama
- University of Alabama, Tuscaloosa
- University of Maryland, Baltimore
- University of Texas at Austin
- Zintellect
- Boston College
- Central Michigan University
- Korea Institute for Advanced Study
- Miami University
- Simons Foundation/Flatiron Institute
- 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 Minnesota
- University of North Carolina at Chapel Hill
- University of Oklahoma
- University of San Francisco
- Vanderbilt University
- Wayne State University
- 31 more »
- « less
-
Field
-
of algorithms Ability to design, implement, and execute empirical studies, General fluency in machine learning methodology, Joining the CMU team opens the door to an array of exceptional benefits, available
-
progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and test multimodal machine learning algorithms to analyze and
-
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
-
onstituent Relations (3) Institute for Human Dev (3) Journalism (3) Landscape/Custodial Services (3) Med Ed Support Services (3) NextGen Precision Health (3) Ob/GYN (3) Regional Prof Development (3) Research
-
, 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
-
candidate will be supervised by Prof. David Bodine and will work collaboratively with an interdisciplinary team of scientists and engineers, including scientists Drs. Anthony Reinhart and Jeremy Gibbs
-
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