Sort by
Refine Your Search
-
Listed
-
Employer
- Northeastern University
- Harvard University
- Johns Hopkins University
- University of Cincinnati
- Carnegie Mellon University
- George Mason University
- Simons Foundation
- University of Michigan
- Genentech
- Simons Foundation/Flatiron Institute
- The University of Alabama
- University of Alabama, Tuscaloosa
- University of Maryland, Baltimore
- University of Texas at Austin
- AbbVie
- City of Hope
- Florida Atlantic University
- Marquette University
- Nature Careers
- 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
- 14 more »
- « less
-
Field
-
research initiatives that analyze the impact of AI technologies on social systems and design innovative methods for adapting economic and social governance to AI development. A special focus will be
-
Baltimore, MD, or Washington, DC , to investigate the foundations of human normativity and how these insights can inform the development of AI systems aligned with human values. The ideal candidate will have
-
electronic systems with a focus on inverters and active filter-based harmonic mitigation, thermal performance, and control strategies. Develop and implement advanced control algorithms for real-time operation
-
formats. Experience with AI and deep learning algorithm development for medical image analysis. Familiarity with SQL, Python, Tensorflow, Scikit-Learn, and Pandas. Additional Qualifications Considered
-
control strategies. Develop and implement advanced control algorithms for real-time operation and performance enhancement of power electronic converters and transformer-based solutions. Perform hardware-in
-
Medicine and Bioinformatics. The specific objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms
-
learning, and data science, with a particular focus on neuroscience applications. Designs AI techniques and algorithms for multimodal data fusion (e.g., MRI, EEG, cognitive and behavioral data, blood
-
with rare, resistant, or genomically un-targetable cancers. Responsibilities Design and evaluate algorithms for treatment and response matching using integrated clinical and molecular datasets. Develop
-
objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms (50%). PhD in computer science, engineering
-
analyses in nonclinical drug development. The postdoctoral role involves designing and implementing algorithms for anomaly detection, segmentation, and classification to contribute to the development