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Field
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, optimizing and continuously extending your experimental platform, including optical alignment, troubleshooting, upgrades and routine maintenance We are looking for researchers who enjoy working directly with
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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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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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, 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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areas Biomedical applications, social determinants of health or other demographic health areas Spatial microsimulation, spatially weighted regression, combinatorial optimization or Bayesian network
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performance monitoring, calibration, and instrument benchmarking. Develop, optimize, and standardize experimental and imaging protocols, contributing to improved reproducibility and methodological rigor across
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Rana Adhikari and Lee McCuller (Caltech) and Matt Evans and Nergis Mavalvala (MIT) as well as the Lab’s extensive network of experienced researchers and personnel. Successful applicants will be involved
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network models. Of particular interest are candidates who have a background and/or interest in one or more of the following: optimization and optimal control (esp. optimal control of partial differential