Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Susquehanna International Group
- Duke University
- Purdue University
- University of North Carolina at Chapel Hill
- University of Texas at El Paso
- Brookhaven Lab
- CUNY School of Medicine
- Rice University
- SUNY
- University of Florida
- University of Houston
- University of Houston Central Campus
- University of Minnesota
- University of Southern California
- University of Tennessee at Chattanooga
- Virginia Tech
- 6 more »
- « less
-
Field
-
optimization, and advanced simulations, to uncover novel materials tailored for space applications. Key Responsibilities Conduct research in materials, manufacturing, and AI integration. Develop and lead federal
-
Manufacturing and Process Optimization. Space and Harsh-Environment Materials Multifunctional and Bioinspired Systems. Requirements: Minimum: Ph.D. in Mechanical Engineering, Materials Science, Computer
-
data analysis to enhance skills, improve processes, and contribute to organizational growth and innovation Innovates methodologies and frameworks to optimize data acquisition and analysis processes
-
systems for both learning and dynamical systems. This work will include new approaches to online learning of optimal policies for hierarchical cyber-physical systems, mixing components of learning and
-
. Perform sensitivity analysis, parameter estimation, and uncertainty quantification utilizing multiscale experimental data. Collaborate closely with experimentalists to iteratively refine models and optimize
-
December 2018, is to improve patient outcomes by providing education on safe and effective controlled substance prescription use and to serve as a catalyst for collaborative research efforts optimizing
-
expertise in wireless communications, communication theory, information theory, applied probability, and optimization • Excellent written and verbal communication skills Preferred Qualifications • Prior
-
feedback to improve and optimize profitability. Serving as a hybrid between traders and researchers, Quantitative Systematic Traders focus more on alpha monetization, execution efficiency, and live trading
-
behavior and feedback to improve and optimize profitability. Serving as a hybrid between traders and researchers, Quantitative Systematic Traders focus more on alpha monetization, execution efficiency, and
-
optimizing pharmacotherapy to manage pain and substance use disorders. It is the only research center with this focus housed in a college of pharmacy in the world-renowned Texas Medical Center (TMC). The