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Field
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for Enhancing Decision-Making in Networks of Autonomous Agents”, which aims to develop a new methodological framework to improve decision-making in autonomous systems. The project combines high-frequency radio
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-Muras, works on the design, analysis and control of biomolecular networks: nonlinear, complex systems – sometimes subject to significant molecular noise- with relevance in cell regulation, signaling and
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well as infection-trials in rainbow trout and possibly other fish species. Through our broad network of international collaborators, you will have ample opportunity for long and short research stays at scientific
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promising lean alloy system for additive manufacturing, as the mechanical properties can be tailored through phase composition, distribution and morphology by tuning process parameters. The work is carried
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of variable distributions [13,14]. Graphic neural networks (GNNs) are new inference methods developed in recent years and are attracting increasing attention due to their efficiency and ability in solving
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– are produced, governed, and spatially distributed. The project conceptualizes urban expulsion regimes as the dynamic interplay between state policies, housing market regulations, public discourses, and the
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– are produced, governed, and spatially distributed. The project conceptualizes urban expulsion regimes as the dynamic interplay between state policies, housing market regulations, public discourses, and the
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explore how salt distribution, structure formation, water management, and flavour release interact during processing, cooking, and consumption. Using advanced characterisation tools alongside sensory and
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configurations (residential, commercial, mixed-use) and their interactions with distribution grids Assessing how renewable integration, storage technologies, and demand flexibility affect system performance
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, Interactive and Cognitive Systems, Distributed Systems, Parallel Computing, and Networks. The host team, DAISY, is a joint CNRS, Grenoble INP, and UGA research team handling research challenges