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cells from different mouse models with accelerated aging phenotype. The work of the PhD candidate will include data mining and integration of these datasets with resulting identification of candidate
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2019, unites top PhD students in all areas of data-driven research and technology, including scalable storage, stream processing, data cleaning, machine learning and deep learning, text processing, data
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texts for your fields and develop collaborative projects. Your participation in workshops and master classes will ensure that you are up to date with current academic discourses and will give you the
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. The project aims to investigate how psychological processes such as curiosity and engagement unfold during text reading by utilizing Large Language Models (LLMs) to analyze the semantic structure of learning
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include data mining and integration of these datasets with resulting identification of candidate regulators of age-associated reprogramming. Validation of these candidates will be carried out through
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music. Individual theses analyse art, fictional or non-fictional texts or musical works that have exerted important and lasting effects on the shared history of European culture, and they examine the
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theoretical texts and concepts. In addition, this PhD programme includes: Elective Options (18 ECTS credits): Elective options are meant to give students the opportunity to improve their professional skills and
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05.02.2025, Wissenschaftliches Personal PhD position (E13) is available at the Department of Computer Science a the TUM focusing on online learning and game theory. Text in English and German (below
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practices throughout the Helmholtz Association. Your specific tasks in the different areas: Knowledge Graph & Ontology Integration Develop methods for mapping heterogeneous data (text, images, tabular results
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methods for mapping heterogeneous data (text, images, tabular results) into an ontology-based knowledge graph using EMMO and Neo4j Employ LLM-based approaches to extract and structure metadata, ensuring