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with a background of HIE during the newborn period also had a neonatal MRI performed. Quantitative analysis of the school age MRIs will be performed, and MR features associated with school-age
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of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes that focus
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models, with an emphasis on techniques such as knowledge distillation. The candidate will engage in research involving time-series analysis, including modeling, forecasting, and anomaly detection
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, reflected in demonstratable outputs. A strong interest in interdisciplinary and impactful research Experience with the development and application of design tools, field and lab studies, numerical analysis
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science, geomatics, urban modelling and data-driven city analysis. We develop innovative technologies for modelling and managing 3D cities, buildings and landscapes, and maintain strong collaborations with industry
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use analysis, the bottom-up models will be used to generate relevant parameters for integration in IAMs and ESMs, such as resource cost curves for each world region and carbon intensity of renewable
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have the following responsibilities: Manages their own project, which should lead to a first-author publication. Develops expertise in real-world clinical data abstraction, curation, and analysis from
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modeling, optimal power flow (OPF), surrogate modeling, and data-driven analysis of large-scale electric power system simulations on DOE leadership-class computing resources. The candidate is expected
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Postdoc in Application of eXtended Reality for Inclusive Automated Vehicle and Road User Interaction
, setup, execution, and data collection. Strong skills in quantitative and qualitative data analysis. Strong analytic and programming skills (e.g., Python, C#) with proficiency in statistics. Ability
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, processing, analysis, and interpretation of portable EEG data within naturalistic classroom environments. This will involve integrating neurophysiological data with qualitative classroom observations