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Your Job: We are looking for a PhD student to develop learning-based surrogate models for predicting stress fields in patient-specific arteries. Especially high stresses in plaque can lead to
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. This includes conducting finite element modeling, ship resistance and stability assessments, as well as overseeing AM process and reporting. The role also involves designing and validating connectors
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projects. The position is responsible for conducting sponsored research in transportation safety, developing material and computer simulation models, developing vehicle and roadside hardware models, and
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such as wrinkles can occur, which cause parts to be scrapped. To minimise material and energy wastage, digital models of the manufacturing processes can be developed and linked to process control and
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techniques. - Design of different interatomic potentials. - Analysis of the failures induced in nuclear materials for fusion reactor under extreme radiation conditions. Where to apply Website https
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://arxiv.org/abs/2509.00098 ) This project sits at the intersection of artificial intelligence and materials characterization and modeling. The goal is to create an AI system that can intelligently operate
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, Energy Materials, Semiconductor Materials, Nanomaterials, and Computational Modeling of Materials. Expertise in experimental synthesis and characterisation or advanced computational approaches is highly
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transfer, where the validated methodology, data analysis protocols, and computational models will be prepared for open-access publication to provide a blueprint for the wider materials community. Enquiries
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focus on integrating material and manufacturing behavior with mechanical and thermal performance models, manufacturability considerations, and sustainability metrics within a system-of-systems perspective
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geometallurgical modeling, mining environmental risk assessment, and the valorization of mining waste. The successful candidate will lead cutting-edge research in the characterization, modeling, and sustainable