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, extending them with physics-based approaches, and adapting existing physics-integrated neural network approaches for stress prediction in arterial walls and plaque. Another part of the project is exploring
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9 Jan 2026 Job Information Organisation/Company Academic Europe Research Field Engineering » Other Chemistry » Other Physics » Other Researcher Profile First Stage Researcher (R1) Positions PhD
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Jülich, which is dedicated to pushing the boundaries of data science theory and application. Our research spans from use-inspired, method-driven theory to application-driven research. Please find more
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of study in the field of music. The scholarships also promote the exchange of experience and networking amongst colleagues. Who can apply? You can apply if you have gained a first university degree in the field
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geometries. Current simulation-based approaches require complex 3D meshes and are often too slow for practical medical use. This project aims to create accurate and rapid surrogate models by combining physics
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course of study in the fields of Fine Art, Design, Visual Communication and Film. The scholarships also promote the exchange of experience and networking amongst colleagues. Who can apply? You can apply if
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of study. The scholarships also promote the exchange of experience and networking amongst colleagues. Who can apply? You can apply if you have gained a first university degree in the field of the Performing Arts at the latest
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Germany in the field of Economics and Business Administration . Who can apply? You can apply if you are an excellently-qualified graduate and have completed a first degree (Bachelor, Diplom or comparable
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into the open-source CADET simulation framework, enabling fully predictive process simulations without extensive experimental calibration. Embedded in the Helmholtz Graduate School for Data Science in Life, Earth
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relevant. The steps in the development of surrogate models are building data-driven models from medical imaging, extending them with physics-based approaches, and adapting existing physics-integrated neural