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investigation of their invariants. Applications to other areas, such as mathematical physics and, more recently, big data and neural networks, have also been considered. The group has many international
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Financial Intelligence Units (FIUs) and law enforcement authorities process large volumes of Suspicious Activity Reports (Geldwäscheverdachtsmeldungen - GVMs) containing unstructured text and
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 26 days ago
14 Mar 2026 Job Information Organisation/Company Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association Research Field Other Researcher Profile Recognised Researcher (R2) Established
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the use of large language models to support neural network design and data preprocessing. The position involves close collaboration with experts in cardiovascular simulation and Scientific Machine Learning
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crystalline materials contains the information on dynamic and static disorder. Relating this information to the underlying structural disorder is a challenging task, particularly in the case of single crystal
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focus on neutron spectroscopy as main analysis technique, supported by complementary experimental techniques or theoretical simulations Hands-on participation in experiments at large scale facilities as
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of the following topics: data collection, information extraction using large language models (LLMs), machine learning (ML), natural language processing (NLP) Expertise in software development with
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for the following as soon as possible one student assistant (f/m/d) for 10 hours per week You will contribute to the survey methodological research of the data, including the preparation, testing, analysis and
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Exceptionally collaborative and open‑science work ethos Prior experience in annotation management, large-scale or heterogeneous imaging data and interest in standardization and research infrastructure development
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for Infection Research) in Braunschweig. The research should focus on the systematics and evolution of microorganisms, as well as on the integration of big data methods, comparative genomics, modern