126 decentralized-control-for-large-scale-systems Postdoctoral positions at Rutgers University
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innovative materials for transportation infrastructure with applications in civil (geotechnical/material) engineering, industrial scale economics, and transportation infrastructure performance. The successful
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, the Postdoctoral Associate will investigate hippocampal and cortical circuits during navigation and goal-directed behaviors using large-scale electrophysiology, in vivo imaging, optogenetics, and computational
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. Assists in the implementation of a multi-level intervention for a large scale, health system research study that spans cancer and primary care. Provides input on study design and develops analytic plans
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moderating mechanisms involved in gene-behavior associations. Our work involves large-scale gene identification projects, mapping genetic and environmental risk across development, and the translation
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helpful. Practical experience working in an urban or high -poverty contexts is desirable. The quantitative Associate will work on projects involving large-scale, longitudinal district and state
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innovative materials for transportation infrastructure with applications in civil (geotechnical/material) engineering, industrial scale economics, and transportation infrastructure performance. The successful
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. An intimate knowledge of marine boundary layer thermodynamics, including decoupling, and the scale and nature of mesoscale circulations, is helpful. This Post-Doctoral Researcher is expected to work effectively
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environment group at CUPR and will contribute research skills and training at the intersection of engineering and public policy with knowledge and experience of buildings and energy systems. Specific postdoc
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associated with substance use problems; and the mediating and moderating mechanisms involved in gene-behavior associations. Our work involves large-scale gene identification projects, mapping genetic and
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LS-DYNA is highly desirable. Knowledge of machine learning (ML) and large language models (LLM) and experience with SHM systems, sensor technologies, model updating, and long-term performance