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Field
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) Research area: Large Language Models (LLMs), knowledge graphs (KGs), commonsense knowledge Tasks: foundational or applied research in at least one of the following areas: LLMs, KGs, knowledge extraction
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analysis (SEC, spectroscopy, X-Ray, NMR, MS) is required. • Practical experience in modelling and design of proteins (Rosetta, Alpha-Fold, docking, molecular dynamics, etc.) will be positively
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the training of state-space models Collaborate closely with our internal partners at PGI-14 (Neuromorphic Hardware Nodes) and international academic and industry partners Publish research articles and regular
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(preclinical mouse models) is required Very good knowledge of English, German is an asset (helpful for teaching) Organizational and team skills, flexibility, curiosity, responsible work ethics and a passion for
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. Furthermore, we use the olfactory network as a model to study the dynamics of neuronal development, synaptogenesis, neuronal degeneration, and regeneration. Our research is complemented by behavioral studies
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of biogeochemical processes with an emphasis on terrestrial ecosystems Development of observational techniques to monitor and assess biogeochemical feedbacks in the Earth system Theory and model development
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mobile at times; Fit and healthy – free of charge preventive medical check-ups and a wide-ranging subsidised sports programme Work-life balance – flexible working time models, plus BGM (Betriebliches
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-22 eV or better, and powerfully test the Standard Model of particle physics. They further constrain CP-violating new physics at scales of 10-100 TeV, far beyond the reach of the LHC. The TUM and the
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to understand, predict, and treat diseases. You will work with multimodal biomedical datasets including omics, imaging, and patient data and apply cutting-edge AI models such as graph neural networks, transformer
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systems using various tools and models, including: i) characterization of the emerging patterns in physical systems (solid state materials and active systems); ii) investigation of the mechanical properties