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morphology, and mechanical performance. This Ph.D. project focuses on the data-driven modeling and optimization of structural foams used in high-voltage battery systems for electric vehicles. As part of BMW’s
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Society Full institutional support to establish an independent research program Access to high-performance computing infrastructure and world-class experimental collaborations Social benefits in line with
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environment within the Max Planck Society Full institutional support to establish an independent research program Access to high-performance computing infrastructure and world-class experimental collaborations
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operational services by bridging satellite remote sensing applications with large-scale AI, high-performance and innovative computing. You will focus on the deployment, operation, and scaling of AI inference
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(R1) Country Germany Application Deadline 21 Dec 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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-Universität zu Berlin Some prior experience in experimental laboratory work and instrumental analytics, along with careful and safety-conscious working practices Ability to perform computer-based evaluation
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Karlsruher Institut für Technologie (KIT) | Karlsruhe, Baden W rttemberg | Germany | about 1 month ago
of novel algorithmic methods at the interface of discrete algorithms and high-performance computing Investigation of the algorithms’ theoretical properties Research software engineering (implementation
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The »High-Performance Cutting « department develops technologies and application-oriented solutions for cutting along the entire process chain - from process design and pre-process simulation
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to the definition, implementation, and coordination of strategic priorities across the EUROfusion program. You will lead high-level initiatives, prepare key management documents, and act as a strategic interface
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of extension, depending on performance and project needs. **Qualifications** • For Doctoral Candidates: Master’s degree in Computer Science, Information Systems, or Mathematics. **Applicants must demonstrate