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critical materials in the steel industry. Using Dynamic MFA with alloy-level tracking, it quantifies flows and stocks of elements such as copper, chromium, nickel, molybdenum, vanadium, and niobium
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synthetic organic chemistry. experience with (immune) cells, microscopy imaging methods, and/or cell-based assays is highly preferred. high intrinsic motivation for multidisciplinary and translational
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passionate atmosphere. The themes of Health and Well-being, Social-Cognitive-Affective Decision Making, Development and Learning, and Advanced Behavioral Research Methods guide research and education. The
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control over generative shape optimisation. 2 – Explainable AI with LLMs for Transparent Decision-Making in Design Engineering This project combines classic XAI methods with LLM capabilities to generate
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networks, or network science, and relevant background knowledge n methods in machine learning and AI. The successful candidate will focus on innovating the field of network analysis with AI methods. Examples