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fragmentation. This project seeks to overcome these barriers by integrating BIM-based energy modeling, semantic data models (Ontologies), and Large Language Models (LLM) into the control workflow. The candidate
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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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a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Molecular Oncology group (http://bit.ly/molonco ) at Institut de Recerca Biomèdica de
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to and build upon modern Python-based statistical modeling tools such as pyhf, supporting likelihood publication, large-scale analysis combinations, and result reinterpretation across the ATLAS
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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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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 30 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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agents. What You'll Do Under close supervision of the principal investigator, other lab members, and senior scientists in collaborating labs who are familiar with the techniques required, the Research
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Evolution. Please check our publications for more details: http://garciajulian.com [1] “Empirical Agent Based Models of Cooperation in Public Goods Games | Proceedings of the Fourteenth ACM Conference
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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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remain largely unknown. The aim of our project is to use animal models to identify the brain signature of CR, based on the heterogeneity of CR levels observed in clinical trials. To this end, our research