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Field
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Life Cycle Analysis (LCA) tools that include an anthropological perspective; a unique approach to responsible and inclusive engineering and material science. As well as working directly with the pioneers
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frameworks linking molecular interactions to cellular and network-level behavior (e.g. protein-protein interaction, PPI, network analysis) Optimize simulation codes and workflows for leadership-class HPC
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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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Requisition Id 16262 Overview: We are seeking a postdoctoral researcher to work at the intersection of tensor networks, quantum algorithms, scientific computing, topological physics, and quantum
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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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of Integrative Data Analysis.” As a postdoctoral associate, you will focus primarily on data analysis and manuscript preparation, with opportunities to publish as first author as well as collaborate on papers with
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opportunities to collaborate across Indiana University’s aging research network. Projects are clinically motivated and span mixed methods intervention development, usability testing, implementation research, and
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brings together a global, multidisciplinary network of collaborators and is grounded in a clear mandate: to generate high-quality evidence and build research capacity to meaningfully improve care for
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the area of Neurosciences and/or Network Analysis. Ability to perform advanced structural and functional image analysis. 6 years of experience in Neuroscience. Responsibilities Research Under general
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networks (including CS-NL, OSC-NL, NEWS, SciComNL, and the five Dutch Citizen Science Hubs), and facilitating roundtable discussions and co-creation workshops to collaboratively develop value-led monitoring