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Field
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AI technologies—foundation models, generative design tools, agent platforms, reasoning engines, and reinforcement learning—can be adapted and extended for maritime design challenges. The final research
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and responsible artificial intelligence, combining areas such as reinforcement learning, social and cognitive computational modelling, knowledge representation and reasoning, agent-based modelling. More
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agents, and their effects on particle morphology and filtration performance, providing opportunities to address more complex mechanistic questions. The duties may also include (e.g.) Research within
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, G., Gazeau, F., Gateau, J., 2023. Quantitative, precise and multi-wavelength evaluation of the light-to-heat conversion efficiency for nanoparticular photothermal agents with calibrated photoacoustic
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) in the scope of R&D projects "Cut&Care GP – Green graphene-based antimicrobials for the control of phytopathogenic agents in Quercus suber L.” of the R&D Centre for Environmental and Marine Studies
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-native 5G/6G networks. The project will explore the mechanisms, control loops, and open interfaces needed to use Generative AI (GenAI) and Agentic AI safely and efficiently to operate modern softwarized
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, control loops, and open interfaces needed to use Generative AI (GenAI) and Agentic AI safely and efficiently to operate modern softwarized network infrastructures. Telecom networks are rapidly moving
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modelling (e.g., agent-based Bayesian models, cognitive learning models, machine learning). Experience in annotation software such as ELAN and PRAAT. Existing peer-reviewed journal publications and conference
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French National Research Institute for Agriculture, Food and Environment (INRAE) | Toulouse, Midi Pyrenees | France | 19 days ago
and genomic characterisation of various disease-causing agents from archaeological remains. The ERC-StG EpidemioCene project will leverage ancient DNA data generated from massive cohorts of ancient
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the Collaborative Research Centre for Low Carbon Living. The project uses agent based modelling (ABM) to represent consumer behaviour, social networks and their responses to non-financial incentives and barriers in