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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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Description We are recruiting a contract researcher to join a project involving the development of predictive models for simulating material forming processes, within the mechanical engineering department
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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
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FLAME-GPU accelerated agent-based modelling of material response to environmental and operational loading EPSRC CDT in Developing National Capability for Materials 4.0, with the Henry Royce
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applicant will gain considerable research skills in multiscale materials modeling. Moreover, soft skills in programming, problem solving, analytical thinking, teamwork, and international collaborations will
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, fluid mechanics, reactive flows, as well as solid mechanics plays a central role. In particular, improved understanding of turbulent, reactive, and multiphase flows together with material sciences and
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of matter at the atomic scale. The postdoctoral researcher will lead the theory component of a research program, developing microscopic models of impurity-host coupling and identifying optical signatures
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portfolio on sustainable and regenerative real-estate innovation. 3. Project Development, Prototyping & Visualization Create high-quality visual materials: Concept drawings, maps, 3D models, renderings, and
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materials. Experience working with physically based forward and inverse modeling of time-domain AEM data as indicated in application materials. Experience working both independently and collaboratively as