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research opportunity focuses on understanding how renewable energy developments generate socio-economic value for local and regional communities, and how different approaches to community benefit design
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high-fidelity models of PEDs/LCTs and implementing them in EMTP-type dynamic simulations to understand the distribution of fault currents during different types of faults in LV networks Understand
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 1 day ago
(Loreley, CEDAR and MAGELLAN). This project aims to design and develop an open-source management solution for a federated and distributed data exchange platform (DXP), operating in an open, scalable, and
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inherent in these systems. This research pioneers the fusion of distributed computing and artificial intelligence (AI) to create a resilient, next-generation architecture. The project aims to empower IoT
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collaboration with researchers from the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL). All tree species reach upper elevational and latitudinal distribution limits that are primarily
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engines will no longer rely solely on centralised on-board computers; but will leverage distributed, multi-layered control architectures and off-board computational power to optimise performance in real
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mathematical modelling and simulation. Partial differential equations will be applied to model drug distribution and partitioning in multiphase systems using the drug’s partition coefficient as a driving force
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 30 days ago
Science'' context, which aims at using ML to solve key problems arising in traditional sciences. More specifically, we will focus on distributed dimensionality reduction techniques, which critically reduce
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practice offers no robust, scalable, or provable mechanism to guarantee this right once a model has been trained. The distributed nature of federated settings introduces unique challenges for unlearning
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 11 days ago
, are to be addressed. Objectives: The research of this PhD will be articulated around the concept of useful landmark for localization in complex environments. Indeed, unlike cases where object detection