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. Successful applicants will investigate the relationships between processing, microstructure, and properties of metals through combined macro- and micro-mechanical experimentation and finite-element modelling
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Description One or possibly two postdoctoral positions to work on the theory of generative AI—particularly diffusion models and their generalizations—combining methods rooted in statistical physics and
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Integrated Center for Outbreak Analytics and Modeling (MICOM), housed in the Department of Epidemiology at the University of Michigan School of Public Health, is seeking an independent and motivated analyst
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of multi-modal Foundation Models that integrate single-cell omics with spatiotemporal information. The second position will address the development of a virtual tissue model, exploiting spatial
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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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, such as semi-Markov models linked to disease transmission models. The framework builds on existing models but these must be adapted to account for differences in epidemiology and disease burden between
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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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. Argument(ation) mining, the new and rapidly growing area of Natural Language Processing (NLP) and computational models of argument, aims at the automatic recognition of argument structures in large resources
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Manufacturing (SMMG). These highly integrated and interlaced disciplines not only emphasize theoretical framework and experimental validation, but also attend to computational modeling and simulation. The Hub is
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Healthcare Monitoring We welcome applications from those with expertise in or across these disciplines: Computational materials modeling: DFT, molecular dynamics, phase-field modeling, or multiscale