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experimental platforms for evaluating AI agent capabilities. Conduct experiments and performance evaluations for AI models and agent systems. Improve system robustness, scalability, and efficiency through
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 4 hours 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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, or performance. In this project, the research done by the PhD student will address the interaction layer in a multi-agent systems. It will focus on how to secure interactions can be generated based on emerging and
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FLAME-GPU accelerated agent-based modelling of material response to environmental and operational loading EPSRC CDT in Developing National Capability for Materials 4.0, with the Henry Royce
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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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interactions can be generated based on emerging and pre-defined protocols for interaction between agents, between agents and their environment and between agents and humans. By an interaction protocol, we mean a
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, and Azure—and designs future-state structures that support data products, analytics, automation, and AI/ML enablement. Establishes enterprise data standards, models, governance structures, and
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Essential & Desirable Criteria Essential PhD in relevant discipline (computer modelling of logistics or transport, agent-based modelling, sustainable logistics, or energy transitions) or equivalent industry
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for cooperative autonomous driving; Design large vision-language models for autonomous driving; Design generative diffusion & 3D/4D scene synthesis models to enable multiple agents to jointly reconstruct a scene
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discovery methods to enable a search for explanatory multi-level agent-based models that can be calibrated to - and validated against - such empirical phenomena. Funding Notes This is a self-funded research