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and Distributed Systems Research Group and the Robotics and Intelligent Systems Research Group. The research groups consist of around 30 full- and part-time faculty members and several postdoctoral
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of the interactions between glaciers and oceans, with a focus on the European Arctic. Please read this interview for more details on Pedro’s work: https://ic3.uit.no/news/msca-physical-biochemical-modeling Within
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The successful candidate is required to have: completed the doctoral degree (PhD) within the fields of Computer Science or related disciplines, such as Human Computer Interaction, Artificial Intelligence, Music
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The project, “Not only bad news travel fast”, will explore how ideas, narratives, and opinions spread when people usually interact locally (with friends and colleagues) but occasionally experience large
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PERMEATE We are seeking a dedicated Postdoctoral research fellow (PD) for PERMEATE who will work on peptide-membrane interactions, and in particular, towards characterizing and understanding the dynamical
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contribute to the development of next-generation modelling frameworks that combine physics-based hydrodynamic modelling with artificial intelligence (AI) and data-driven methods to better predict contaminant
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of embodied intelligence. NCEI brings together leading robotics and AI groups with key partners from industry and the public sector to study how intelligence emerges from the interaction between body
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Multisensory Networked Interactions with Robotics Avatars Apply for this job See advertisement About the position We invite applications for position as PhD Research Fellow in Multisensory Networked Interactions
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, computer science, human–computer interaction, artificial intelligence, management science, or a closely related field. Demonstrated research competence in General Purpose AI (GPAI), including familiarity with
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related to development of personalized AI agents and their interactions. The position is embedded in the Centre for Artificial Intelligence Research (CAIR) and will contribute to cutting-edge research