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model classifiers (PLS-DA, random forest, neural network, etc) towards unraveling materials structure-function relationships, and are familiar with optimization approaches such as genetic search, Bayesian
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Systems and/or Optimization Theory. Preferred Qualifications The postdoctoral Research Associate is preferred to have experience with hardware-in-the-loop validation. The postdoctoral Research Associate is
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of improving human health. Aligned with Rutgers University–New Brunswick and collaborating universitywide, RBHS includes eight schools, a behavioral health network, and five centers and institutes that focus
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 4 hours ago
of basic and applied research Network with world-class scientists Exchange ideas and skills with the Laboratory community Use state-of-the-art equipment Contribute to answers for today's pressing scientific
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to large single-crystal YIG spheres for optimizing magnon target mass and improving axion detector sensitivity. Develop detector sensing demonstration experiments for measuring the quantum efficiency and
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systems architecting AI/ML-driven clinical and operational decision support Digital health and learning health systems Healthcare operations, resource allocation, and workflow optimization Network, graph
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 21 days ago
comprehensive analysis simulations using CAMRAD II at Mars aerodynamic conditions Post-processing and analysis of DNS, CFD, or comprehensive analysis datasets Geometry creation and mesh generation for simulations
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, containerization (Docker), Kubernetes API development and web-based analytics tools Systems, Optimization, and AI ML/AI for mobility prediction and optimization Graph algorithms, network science Spatiotemporal
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 21 days ago
entanglement on a robust, chip-scale architecture. 2. Background and Relevance to NASA This research directly supports NASA’s mission to develop disruptive technologies for the Integrated Network (IN) and
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areas Biomedical applications, social determinants of health or other demographic health areas Spatial microsimulation, spatially weighted regression, combinatorial optimization or Bayesian network