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-native wireless communications and networking, specifically developing context-aware multimodal Generative AI (GenAI) models, scalable mixture-of-experts (MoE) at the network edge, and multi-agent
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optimization and LLM alignment: design preference-based training and fine-tuning methods (RLHF, PPO, DPO, reward modeling) for medical and multilingual LLMs. Agentic and tool-augmented AI systems: develop
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. Proven research track record demonstrated by publications in top-tier conferences. Demonstrated expertise in large language models (LLMs) and their application to software security, multi-agent system
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physical agent-based models, as well as the integrations of omic information to validate model predictions and developed in the context of the HPC environments at the BSC and at other HPC centres in Europe
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learning and LLM frameworks like LangChain and agent-based LLM frameworks, Retrieval Augmented Generation (RAG). Experience with fine-tuning, deploying, and evaluating Large Language Models. Experience with
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, automation, or autonomous systems. - Dynamic modeling and physical simulation. - Trajectory planning, navigation, or robot control. - Interest in multi-agent systems and human-robot interaction. Technical
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 19 days ago
software engineering skills in Python, including testing, packaging, and maintainable code development. Experience building or working with agentic systems, LLM-based tool use, or workflow orchestration
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selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, training and internal pay
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the context of agentic software engineering LLM testing and LLM-based testing Automated test generation and software testing Testing of AI-based systems Automated program repair and synthesis Metamorphic
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hydrogen leaks, whether chronic or accidental, could act as a brake on our capacity to fully deploy the hydrogen-based technologies on short terms, especially as conventional mitigation measures such as