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Field
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. A localised study of how environmental issues are taken into account in the implementation of renewable energy projects in the Millevaches and Périgord-Limousin RNPs, based on ethnographic
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a strong foundation in at least a few of the following areas: high-mobility materials based printed electronics, transient electronics (various sensors, circuits, energy devices etc.), degradable
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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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interactions in physical environments over time can provide valuable insights of team dynamics. SWATE explores the creation of a Socially-Aware AI agent to enhance team training by providing real-time insights
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materials with potential applications. The ICMCB is a UMR with an average of 270 agents (permanent and non-permanent), with 3 tutelles, hosted by the CNRS and in total ZRR. The position is located in a sector
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for applications in virtual reality, gaming, digital assistants, and social robotics. We build on recent breakthroughs in spontaneous speech synthesis and gesture generation based on deep generative models to train
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to): Radiochemistry of small molecule molecular imaging probes to interrogate tumor biology and predict response to therapy. Optimize and characterize imaging agents for preclinical and translational cancer studies
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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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either or both agent-based modeling and social network analysis/network science. The ideal candidate should be able to program in C or C and have experience working with tera-bytes of data. Preference
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shape the future through innovative education and ground-breaking research results, and based on the Arctic region, we create global social benefit. Our scientific and artistic research and education are