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multidisciplinary team, contributing to design, data collection, policy analysis, prototyping, and dissemination. Candidates with expertise in any area—policy, AR/VR tools, community engagement, or programming
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. Software or code development, incl. artificial intelligence and machine learning. Automation and robotics, incl. safe human-machine interaction. Serious gaming, incl. AR/VR. Life cycle analysis. You are
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Council (VR). The project is centered around inverse optimal control/inverse reinforcement learning, both for continuous-time and discrete-time systems. In particular, we are looking for a strong candidate
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learning, or applied AI research. Interest and/or experience in multimodal or behavioral data collection (e.g., motion capture, acoustic analysis, wearable sensors, fNIRS, VR-based studies). Interest and/or
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employed in project “FAME: Fjord Alien Microeukaryotes – New Drivers of Ecosystem Functioning? ” funded by the Swedish Research Council (VR). Knowledge on marine alien and invasive species is highly biased