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of the Postdoctoral Research Associate includes contributing to multiple projects including resilience-aware scheduling, deep learning workload job scheduling, and storage system performance tuning. The candidate will
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
these architectures through simulation (e.g. ns-3) and hardware test platforms (e.g. Software Defined Radio) will enable critical information for architecture selection of future planetary missions. Field of Science
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of the Postdoctoral Research Associate includes contributing to multiple projects including resilience-aware scheduling, deep learning workload job scheduling, and storage system performance tuning. The candidate will
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Development – 80% ● Develop a control system for a robot with multiple degrees of freedom. ● Coding software routines for robotic exoskeleton using Python and/or C++. ● Debugging and embedding software
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Requisition Id 15338 Overview: We are seeking a Postdoctoral Research Associate to lead the fabrication and integration of cutting-edge quantum photonic architectures, with a focus on merging
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: developing new ideas, algorithms, software and hardware; designing, documenting, modifying and debugging software; evaluating and validating software, circuits, algorithms and architectures. Supervise research
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and engineering staff on computing architecture, including networking, data pipeline design and storage; data analysis and data collection software; and machine learning research Collaborate with other
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processing and EF, does one factor or multiple independent factors contribute to differences in reading ability? Are measures of visual processing and EF useful additions to conventional dyslexia screening in
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contributing to multiple projects including resilience-aware scheduling, deep learning workload job scheduling, and storage system performance tuning. The candidate will have the opportunity to engage in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
/therapeutic response, and advance basic scientific investigation into disease processes. The ideal candidate will have a strong background in both the mathematical and software sides of machine learning, with