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progress on the most complex known systems Outstanding scientific and technical infrastructure A highly motivated group as well as an international and interdisciplinary working environment at one
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Proficiency in at least one programming language, preferably Python; experience with scientific computing, numerical modeling, or machine-learning frameworks is an asset Strong analytical skills with a solid
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data sets, which have to be evaluated in order to obtain a holistic understanding of very complex systems. Visit HDS-LEE at: https://www.hds-lee.de/ The position is placed at the Institute for Advanced
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19 Jan 2026 Job Information Organisation/Company Helmholtz-Zentrum für Umweltforschung - UFZ Research Field Environmental science Researcher Profile First Stage Researcher (R1) Application Deadline
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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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available in the further tabs (e.g. “Application requirements”). Objective ERP Study Scholarships are sponsored by the Federal Ministry of Economic Affairs and Energy (BMWE) to provide foreign graduates
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Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem
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progress on the most complex known systems Outstanding scientific and technical infrastructure A highly motivated group as well as an international and interdisciplinary working environment at one
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available in the further tabs (e.g. “Application requirements”). Objective This scholarship programme offers you the opportunity to continue your education in Germany with a postgraduate or continuing course
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scientific organisation. Where to apply E-mail karriere@fz-juelich.de Website https://www.fz-juelich.de/en/careers/jobs/2025D-182 Requirements Additional Information Website for additional job details https