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Knowledge of machine learning, Large Language Models (LLMs), Vision Language Models (VLMs), or generative AI Experience with Retrieval-Augmented Generation (RAG), AI agents, model-driven engineering, DevOps
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05.07.2026, Academic staff Our research combines mathematical modeling, numerical simulation, scientific computing, and data-driven methodologies to improve the predictive capabilities and
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team at the interface of environmental modelling and data science. At Hereon, the research group combines: - long-standing expertise in air quality modelling - with growing activities in data-driven
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to the origins and molecular evolution of organs in mammals and other vertebrates and the underlying genomic changes, with a particular focus on the evolution of gene expression and its regulatory basis. As part
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at the Professorship of Energy Management Technologies are focusing on the design and evaluation of innovative data-driven and Machine Learning-based systems to integrate more renewable energy into our energy systems
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candidate’s interests and expertise. Our lab investigates a broad range of questions related to the origins and molecular evolution of organs in mammals and other vertebrates and the underlying genomic changes
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questions related to the origins and molecular evolution of organs in mammals and other vertebrates and the underlying genomic changes, with a particular focus on the evolution of gene expression and its
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Potsdam-Institut für Klimafolgenforschung e.V. (PIK) | Potsdam, Brandenburg | Germany | about 2 months ago
institutional capacity scenarios developed at the German Institute of Development and Sustainability (IDOS) with PIK’s own integrated assessment model REMIND. Contribute to the collaborative research with IDOS in
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learning-based surrogates for physical systems LLMs and scientific agents – large language models that autonomously reason, plan and execute scientific workflows AI for engineering design – LLM-driven agents
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Albert-Ludwigs Universität Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 27 days ago
-kind set of rate-dependent knock-down factors for the structural sizing of components driven by high-rate loads, and a validated rate-dependent material model. Together these support the network's larger