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Field
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science, nanotechnology, life science and energy research with world-leading industrial research and development projects. The division of Condensed Matter and Materials Theory constructs models for and
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, our mission is to make a substantial contribution to addressing the major challenges of our time – climate change and digitalisation. We build on our strong expertise in research, development, and
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, Robust and Secure AI-Supported Development, and Resilient Distributed and Agentic AI. RESIST will drive world-class research in the intersection between AI and cybersecurity through a strong, stimulating
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Verifiable AI, Runtime Security Assurance, Robust and Secure AI-Supported Development, and Resilient Distributed and Agentic AI. RESIST will drive world-class research in the intersection between AI and
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analysis in Python for SasView Initial validation against reference Matlab results Clear documentation of the method, implementation choices, and limitations Recommendations for further development and
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‑containing conditions Support the development of process concepts by linking experimental results to techno‑economic or process assessments of promising electrofuel pathways. Contract terms The Doctoral
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cycle. The data extraction will be based on existing machine learning development made by the team, in particular the use of quantile regression neural networks. There exists no other measurements
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research spanning Software Engineering empirical research, Software Development in programming languages and tools, Artificial Intelligence, Robotics, Natural Language Processing, Embedded Systems and
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on modelling nucleation and evolution of damage under monotonically increasing or static loading in pressurized high-temperature water environments, with links to microstructure and manufacturing processes
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designing and building research environments, particularly those supporting data-intensive workflows A documented significant contribution to the development of a scientific software during the last three