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A Postdoctoral Research Associate position in advanced MRI acquisition, analysis, and modeling is available in the Department of Radiology at the University of Virginia School of Medicine, under
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analysis frameworks that enable rapid interpretation of scattering measurements and facilitate the training of intelligent agents capable of guiding experiments and simulations in catalytic materials
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imaging beyond the limits of conventional voxel-based imaging. The project will involve theoretical and computational work, with particular emphasis on physics-based simulations, biophysical modelling
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based in the Department of Supply Chain Management. The successful candidate will contribute to research at the intersection of people-centric operations, social sustainability, analytical modeling, and
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emissions modeling • Strong problem-solving, communication, and technical writing skills • Ability to work independently and manage multiple tasks under deadlines Additional Application Materials Required
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position within a Research Infrastructure? No Offer Description Job description This project focuses on modelling, simulation, and decision support for AI-based penetration testing. A central premise is that
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, and systems-level approaches with advanced model systems—including organoids and in vivo disease models—to investigate mechanisms regulating epithelial homeostasis, host–pathogen interactions, immune
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. Advanced cell and mitochondrial biology: primary human fibroblasts, mitochondrial bioenergetics, import assays, respiratory chain phenotyping, in vivo disease models. Multi‑omics: single‑cell and bulk
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://med.stanford.edu/gruberlab.html (link is external) How to Submit Application Materials: Interested applicants should submit the required application materials by email to Aronne Schwartz, administrative assistant
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approaches combining ab initio modeling, Raman vibrational spectroscopy, and machine learning for the study of electrode materials and their interfaces, with a focus on operando monitoring of full battery