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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
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). DEMOS is a new, federally funded consortium of German research institutions and will work in collaboration with international partners to make portable statistical models a reality. Within the larger
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interoperable methodological framework for AI in gynecological oncology. We integrate symbolic knowledge representation (Ontologies/Knowledge Graphs) with Retrieval-Augmented Generation (RAG) and Large Language
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, and clinical information with imaging data. Explore and implement Generative AI approaches (e.g., data augmentation, reconstruction, simulation). Investigate and apply Vision-Language models for linking
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of deformable objects Simulation and reality gap bridging for deformable object interaction (using environments such as MuJoCo, PyBullet, or NVIDIA Isaac Sim) Adaptive feedback control using learned and
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and reality gap bridging for deformable object interaction (e.g., MuJoCo, PyBullet, NVIDIA Isaac Sim) Adaptive feedback control using learned and analytical models Physics-informed machine learning
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structured problem-solving Investigating advanced strategies for model adaptation, including in-domain pre-training, domain adapters, task-specific instruction tuning, and retrieval-augmented generation (RAG