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on the following tasks with either with a stronger model-development or application focus: Design knowledge-graph-augmented transformers and retrieval-augmented generation (RAG) pipelines that enable
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Your Job: The transformation of the European energy system towards greenhouse gas neutrality is fundamentally changing our energy landscape. In the future, wind and solar power plants are expected
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application focus: Design knowledge-graph-augmented transformers and retrieval-augmented generation (RAG) pipelines that enable semantic querying and reasoning over materials-science/physics corpora Developing
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transformation paths that are necessary to address the challenges posed by climate change Present research findings at national and international conferences, utilizing effective communication skills to convey
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studies and long-term observations contribute significantly to the understanding of climate change and its effects. A central aspect of cloud and climate research is the investigation of the ability
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its rich information content, conventional analysis methods have not yet fully realized its potential. This research project aims to develop a robust AI foundation model based on modern Transformer
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independent way of working Ability to work together in an international and interdisciplinary team Our Offer: We work on highly relevant, current topics with strong societal impact – and offer you the
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linkages based on numerical simulations and to transform them into AI- and ML-ready information to develop and implement an indirect inverse optimization framework to identify microstructures that exhibit
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passionate about creating a pioneering map where calories are located and microbially transformed in a soil aggregate? Then this exciting PhD opportunity is for you! The project is part of the SoilSystems SPP
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None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content The transformation of the environment is one of the greatest challenges facing us at