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a multidisciplinary profile, with global relevance and specialized expertise on forests and forestry as complex socio-ecological systems. We closely collaborate with multiple stakeholders and conduct
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this project will be to study the capabilities of LDMX to handle pile-up (multiple electrons hitting the target at the same time) in more detail. This will mainly be based on simulation-studies of potential
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even in modern GPU systems. This project investigates neuromorphic sensors and sensor fusion of multiple event-cameras in a real-time human-robot co-working space, where a robotic manipulator (a 7 DOF
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. There are multiple alternatives in the future deployment of nuclear, including centralized large-scale and distributed SMRs, and there is no established knowledge of how these would impact the power grid
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for large-scale simulations of cortical memory function. Special focus is on coupling multiple neural networks to study neural interactions between different cortical regions supporting cognitive function
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coordination and control of multiple variable energy carriers reduce CO₂ emissions while ensuring a stable energy supply? The project will advance reinforcement learning methods and model-based optimization
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and survey experiments. It studies political representation, with access to unique data on women as local candidates and representatives in multiple countries (also beyond the initial focus of Africa
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and, in particular, on the analysis of these test measurements and on publishing the results. Another priority in this project will be to study the capabilities of LDMX to handle pile-up (multiple
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LiDAR and UAV photogrammetry) with physiological and spectral indicators of forest health. The research will be conducted at multiple spatial scales, from single trees to landscapes, and integrated
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fundamental research in robotics autonomy with a strong European and National participation in multiple R&D&I projects. RAI has participated in the DARPA SUB-T challenge with the CoSTAR Team lead by NASA/JPL