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-0831 Description of Work: At the Digital Twin Innovation Hub, we are developing infrastructure for the construction, simulation, analysis, and visualization of a human immune system model that represents
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to early-stage efforts focused on muscle biology and inflammatory disease. The successful candidate will apply their expertise in murine models and immunology to explore disease mechanisms, validate novel
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regional ocean/ice/biogeochemistry models (OBMs) applied to Arctic coastal seas, the properties of terrigenous sediments are rarely integrated into physical and biogeochemical processes. To address this gap
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for part-time employment. Starting date: 14.01.2026 Job description:PhD position on physics-based machine learning modeling for materials and process design Reference code: 2026/WD 1 Commencement date
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based forward and inverse modeling of time-domain AEM data as indicated in application materials. Experience working both independently and collaboratively as indicated in application materials. Strong
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modelling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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computational mechanics and scientific machine learning. The successful candidate will work on the design of hybrid, physics-informed modeling and identification frameworks for complex dissipative material
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at the University of Minnesota to work in the Soft Materials Mechanics Laboratory, led by Prof. Kshitiz Upadhyay. The postdoctoral researcher will contribute to research focused on developing constitutive models
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during forming; or development of solid‑state joining techniques for dissimilar lightweight metals. Prior research experience in materials processing or computational modelling is desirable but not