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insights into the various theoretical models and analytical methods used across these research areas, as well as the ability to work with the databases under development. The aim of the center is to
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. The work involves areas such as AI-assisted automation engineering, digital twins, semantic modeling, secure data exchange, and reconfigurable production architectures. The research is carried out in
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description In recent years, AI models have shown remarkable
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radar altimetry data tracking surface water variations. AI models will be used to analyze complex surface water-groundwater feedback loops, simulate future scarcity under climate change, land use, and
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focus on two main lines of research. The first concerns the modeling of general dark matter–electron interactions in detector materials. This will be achieved by combining methods from particle and solid
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for applications in virtual reality, gaming, digital assistants, and social robotics. We build on recent breakthroughs in spontaneous speech synthesis and gesture generation based on deep generative models to train
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ocean environments, ensure safe and sustainable operations. Our activities are centered on numerical modelling (e.g. CFD, FEA, FSI, optimization, machine learning), but also include experiments and real
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aims to digitalize the sense of smell, laying the foundation for understanding how olfaction works in humans and for building AI models that simulate olfactory experiences. The research will focus
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. An adaptable multi-timescale energy management system for energy islands. Models for ancillary service provision to transmission and distribution system operators (TSOs and DSOs). Real-time operation and control
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deviates from the classical asynchronous-irregular states (e.g. papers from the IBL). In this project we aim to characterize the statistics of both ongoing and task related activity and then build models