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Your Job: Digital methods for inverse materials design are essential to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so
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from data. The conditioning of diffusion models during the inference stage makes them competitive tools for solving inverse problems, suggesting that they can be repurposed for highly efficient data
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these challenges by advancing sensitivity-based modelling, fluid–structure interaction (FSI) methods, inverse problem solving, and surrogate modeling techniques, ultimately enabling predictive, adaptive, and
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: PHD Thesis Job description: Your Job: Digital methods for inverse materials design are essential
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PhD project involves interdisciplinary research at the interface of computer science and mathematics and addresses a complex, coupled inverse problem with explicit uncertainty quantification. Research
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, 100% funded PhD student position to fill starting around June 2026. Research is to be in the field of computational methods in nonlinear and large scale optimization / inverse problems or in novel
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Your Job: The PhD project offered will be part of the Cluster of Excellence: PhenoRob - Robotics and Phenotyping for Sustainable Crop Production. PhenoRob performs world-leading research in robotics
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19 Jan 2026 Job Information Organisation/Company GFZ Helmholtz-Zentrum für Geoforschung Research Field Geosciences Researcher Profile First Stage Researcher (R1) Application Deadline 1 Feb 2026 - 22
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Your Job: The PhD position is offered within the Cluster of Excellence PhenoRob – Robotics and Phenotyping for Sustainable Crop Production. We are looking for a highly motivated PhD candidate
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6 Dec 2025 Job Information Organisation/Company Forschungszentrum Jülich Research Field All Researcher Profile First Stage Researcher (R1) Country Germany Application Deadline 19 Jan 2038 - 03:14