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Field
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systems • Healthcare operations, resource allocation, and workflow optimization • Network, graph, and agent-based modeling for care delivery • Health equity, patient access, and system resilience • Multi
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. The successful candidate will apply environmental association mapping and expression profiling across grasses and maize landraces to identify key genes and regulatory networks. These insights will then be
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. Understanding of high-order methods for fluid flows. Understanding of turbulence, boundary layer flows, multi-phase flows, chemical kinetics, combustion, and detonations. Experience in mesh generation with
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Systems Modeling. This position focuses on leveraging and developing new equation learning methods, such as Physics-Informed Neural Networks (PINNs), Biologically Informed Neural Networks (BINNs), 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
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Science, or a related field Strong programming skills in Python, R Solid understanding of: Machine learning fundamentals Deep learning architecture (e.g., CNNs, RNNs, Transformers) Optimization and model
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-soil-microbe interactions. The successful candidate will apply environmental association mapping and expression profiling across grasses and maize landraces to identify key genes and regulatory networks
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| Electrical and Computer Engineering The Post Doctoral Scholar conducts advanced research and development at the AI Edge Institute for Future Generation Edge Networks with a focus on wireless networks and
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extensive network of experienced researchers and personnel. Successful applicants will be involved in the operation of the world’s most sensitive interferometers, and/or the R&D program for future detector
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simulation and flood inundation modeling. River basin planning and operations modeling, including reservoir simulation and optimization. Hydrodynamic modeling of water temperature and quality constituents