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spatio-temporal generative models, and multimodal foundation models—including vision-language MLLMs and agentic AI frameworks—for longitudinal MRI and clinical data. Fellows will help build next-generation
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intensive multi-cellular agent based models (ABMs) of Epstein–Barr Virus (EBV) and HIV-1 infection dynamics in human lymphoid tissue. This postdoctoral associate will collaborate with experimentalists
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the activities of the SEISMES team at the Géoazur laboratory under the supervision of the CNRS, the Observatoire Côte d'Azur, the Université Côte d'Azur and the IRD. The employer of the recruited agent will be
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validate decision-support tools for energy-aware planning, predictive maintenance, and resource optimization. -Develop and test multi-agent and distributed control systems using technologies such as IEC
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of performance - Ex-situ and In-situ optical properties of single layers and multi-layered devices - Devices Conception and building - Interactions with the partners of the EC-LIPSE project - Handling
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optimization. -Develop and test multi-agent and distributed control systems using technologies such as IEC 61499 and real-time simulation. -Use robotics, autonomous systems, and digital twins to automate and
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large-scale data analysis Related fields such as nutrition, anthropology, or environmental science Project management experience, particularly in coordinating multi-site studies or citizen science
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to treat advanced prostate cancer including treatments that exploit androgen receptor signaling, DNA repair deficiency and immune-based agents. We are recruiting a post-doctoral fellow to engage in
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techniques (e.g. explainable, ethical, empathic and agentic AI), natural language processing (NLP), large language models (LLMs), data science methods, and mHealth to analyze large-scale, multidimensional, and
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experimentally verified results is a necessary: - Autonomy with collaborative intelligence - Distributed task and motion planning - Predictive collaboration with heterogeneous teaming - Multi-agent navigation in