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PhD thesis Edge Intelligence for 6G Networks. The PhD project will deep dive into Edge Intelligence for next-generation (6G) communication systems. The project focuses on integrating Artificial
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PhD fellowship 2 – Alexander von Humboldt and French-German Networks in the Early History of Ecology
10 Apr 2026 Job Information Organisation/Company Université Sorbonne Nouvelle Department DIRVED Research Field Philosophy » Philosophy of science History » History of philosophy Cultural studies
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economy-wide modelling. Assess the distributional impacts of network investment using macroeconomic models such as Input Output and Computable General Equilibrium. There is a unique the opportunity to gain
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PhD position in Economics as part of the renewed RESA Chair, dedicated to studying the future of natural gas networks in the context of the European energy transition. JOB DESCRIPTION The PhD candidate
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by their soaring cost considering the shortage and uneven distribution of lithium resources, which is often also associated with poor environmental and human rights records, prompting the replacement
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not originally designed to manage large numbers of flexible and decentralised energy resources. This PhD project will develop new AI-driven methods for operating smart distribution networks so that
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below: PhD A – Importance of dark carbon fixation in the deep ocean. There is growing evidence that dark carbon fixation contributes to the sustenance of heterotrophic life at great depth. Using 14C and
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the area of quantum and hybrid classical-quantum networks regarding their design, management, and debugging in distributed architectures. Well-Planned Interdisciplinary Training: To sustainably train PhD
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) algorithms in realistic network settings and explore hybrid approaches that combine classical and post-quantum techniques. The project will involve protocol design, system-level evaluation, and performance
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geolocated social media data, and computational techniques from network science and machine learning. It is interdisciplinary, combining theories of healthy and accessible cities with computational data