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Field
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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
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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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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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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
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Research Institute for Environmental and Occupational Health (IRSET - UMR_S INSERM 1085) | Saint Point, Bourgogne | France | about 1 month ago
sciences » Epidemiology Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Positions PhD Positions Application Deadline 31 Mar 2026 - 23:59 (Europe/Paris) Country France Type
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month 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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compromise system integrity, safety, 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
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of AI foundation models. Join Us! We invite you to help shape the future of AI for Science (AI4Science) as an Assistant Professor (UD) within the Informatics Institute. In this role, you are expected
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: System-Level Impact Analysis of IAM using Agent-Based Models Supervisor: Prof. Dr. Regine Gerike, Chair of Mobility System Planning and co-supervised by at least one additional professor
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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