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and Research (MESR). Phd position The performance of recommendation algorithms that make use of human behavior heavily depends on their ability to capture the experience of people who interact with them
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, legible, and socially aware robots capable of engaging with humans through physical interaction. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UPR8001-ANABOL-001/Candidater.aspx Requirements
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phase, the focus will shift to assessing the impact of explicitly representing ice-atmosphere interactions in the atmospheric boundary layer on forecast quality. This physical modeling will leverage
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language utterances are used to interactively specify corrections and feedbacks aligning model outcomes with expert knowledge and (iv) human-AI models continuously synthesize robot control policies and adapt themselves
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at the Aix-Marseille University Doctoral School (NeuroSchool program). Regular interactions with team members in Maastricht are planned (videoconference meetings, joint workshops). Candidate Profile • Required