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- Technical University of Munich
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 3 days ago
virtual-reality experiments with insects, development of new models of neural or embodied dynamics, comparative analyses across species, or novel methodological approaches aligned with the central questions
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 23 hours ago
demographic reality. Our mission is to advance the field of medical demography by building on existing approaches and developing new conceptual, methodological, and empirical foundations. We address key
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language processing, especially large language models, prompt engineering, finetuning, retrieval augmented generation (RAG), GraphRAG and named entity recognition and relation extraction approaches Experience with
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framework for AI in gynecological oncology. We integrate symbolic knowledge representation (Ontologies/Knowledge Graphs) with Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) to create
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
foundations of augmentations for digital pathology Potentially developing multi-scale AI models for cancer patient stratification combining LLMs, molecular measurements, and multi-scale imaging. Your profile
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methods Supervising a small team of PhD and MSc students Developing new foundations of augmentations for digital pathology Potentially developing multi-scale AI models for cancer patient stratification
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research environment - Work in a vibrant, internationally recognized setting where you can turn your research idea into reality. Strong institutional support - KIT's deep expertise and interdisciplinary
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and reality gap bridging for deformable object interaction (using environments such as MuJoCo, PyBullet, or NVIDIA Isaac Sim) Adaptive feedback control using learned and analytical models Physics