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learning methods for computational soft materials research. Build and evaluate models using simulation and experimental data to predict material properties and guide further study. Document datasets
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process. The successful candidate will contribute to research on generalizing some advanced magnetic material model developed at Aalto University. The focus on anisotropy and punching deterioration will
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material responses can guide formation and transformation. Possible research directions include designing complementary interfaces for selective bonding; improving assembly pathways and correcting unwanted
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by the Novo Nordisk Foundation. Start date is (expected to be) 1 January 2027 or as soon as possible thereafter. The position is for 3 years. The project This PhD project will develop simulation
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9 Oct 2026 Job Information Organisation/Company Technische Universität Berlin Department Research Center for Microperipheric Technologies Research Field Engineering » Electrical engineering Physics
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data science, building performance simulation and human-computer-interaction. Take the chance to work with our innovative group and contribute to exciting research in a collaborative, dynamic
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the agreement of the team manager, and training to adapt to the job. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7178-REGSOM-267/Default.aspx Requirements Research Field Physics
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initiation, growth simulation and remaining fatigue life prediction Exploration of fatigue mitigation strategies for stress relaxation at fatigue-prone locations, with focus on material efficiency Integration
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initiation, growth simulation and remaining fatigue life prediction Exploration of fatigue mitigation strategies for stress relaxation at fatigue-prone locations, with focus on material efficiency Integration
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Clinical Assistant Professor, Clinical Associate Professor, or Clinical Professor to teach in the Prelicensure Nursing Program. Responsibilities may include didactic, clinical, lab/experiential/simulation