Sort by
Refine Your Search
-
Listed
-
Employer
- Harvard University
- Northeastern University
- Johns Hopkins University
- University of Cincinnati
- Carnegie Mellon University
- Simons Foundation
- University of Michigan
- George Mason University
- Simons Foundation/Flatiron Institute
- The University of Alabama
- University of Alabama, Tuscaloosa
- University of Maryland, Baltimore
- AbbVie
- City of Hope
- Florida Atlantic University
- Genentech
- 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
- University of Texas at Austin
- 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
-
(CPS) for aquaculture, to sensors and platforms for maritime applications. The Postdoc’s primary task will be to lead the development of algorithm, software, and hardware to extend the current HAUCS
-
designs and methods, clinical trial methods, Bayesian methods, and developing R packages and scalable algorithms. Opportunities for collaboration across the Department of Biostatistics and the Medical
-
algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software
-
. Develop and implement control algorithms for distributed multi-agent system operations and spacecraft-based robotic manipulation. Perform research on spacecraft dynamics and control, including trajectory
-
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
-
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
-
only within dense, highly interacting systems, inaccessible to standard techniques. To probe such regimes requires the development of fast and scalable algorithms for many-component systems, and of
-
research team. Key research areas include: Development of low-carbon materials and tunable thermal energy storage materials integrated with smart sensors and advanced algorithms Creation of Digital Twins
-
algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software