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, Retrieval-Augmented Generation (RAG), agentic AI, software-defined vehicles, and AI-supported software engineering in collaboration with academic and industrial partners. Requirements A completed master's
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agentic software can change the way scientists interact with complex imaging pipelines – for example, by allowing users to formulate analysis tasks at a high level while software agents orchestrate
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develops LLMs and agentic AI systems for scientific discovery, engineering and physical systems. We investigate how AI can reason about scientific problems, interact with simulation software and support the
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deep understanding of the emergent structures, self-assembly, and dynamics on the basis of physical principles. All these systems are ubiquitous in nature and in everyday practical applications and are
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or experience in LLMs, tool-using agents, or agentic workflows. Experience in optoacoustics, ultrasound, optical imaging, spectroscopy, or related technologies. Interest in entrepreneurship, innovation transfer
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. The energy is continuously injected at the level of the individual particles or agents, keeping the system out of equilibrium. Examples of active matter include bacterial colonies, cytoskeleton formed by
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
or experience in LLMs, tool-using agents, or agentic workflows. Experience in optoacoustics, ultrasound, optical imaging, spectroscopy, or related technologies. Interest in entrepreneurship, innovation transfer
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03.06.2026, Academic staff The Research Group AI-Assisted Healthcare at TUM University Hospital is offering a fully funded PhD position (TV-L E13, 36 months) in a BMFTR-funded consortium on agent
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Oettingen in Bayern, Bayern | Germany | 3 months ago
cancer treatments, the cells in our bodies are continuously under siege from exogenous agents that damage our DNA. The molecular mechanisms that repair and tolerate this damage are also responsible
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that combines longitudinal real-world data, causal inference and agent-based knowledge integration to improve therapy sequences beyond the second line. In SEQUORA, we develop trustworthy AI assistance