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Field
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optimization of semantic communication in 6G multi-robot teleoperation scenarios. The candidate will investigate innovative approaches leveraging semantic communications, artificial intelligence, and emerging 6G
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backbone of tomorrow's Power-to-X plants. This 3-year PhD position offers a unique opportunity to build a research career at the intersection of digital twins, multi-timescale optimization, and integrated
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systems, from sustainable energy grids to autonomous mobility. In this ERC-funded PhD project, you develop cutting-edge game-theoretic control and optimization methods. Job description Modern society
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new theoretical approaches for understanding stability, generalization, and feature learning in large-scale neural networks. Further details and application instructions are available at: https
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-timescale optimization, and integrated Power-to-X systems. You will drive the development of system-level digital-twin and optimization methodologies, integrating electrolyzer models with renewable generation
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 1 day ago
for optimizing the memory placement. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-10542 Requirements Skills/Qualifications Technical skills : We require a very good extertise in C/C
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disabled persons or persons of equal status will be given priority in accordance with SGB IX. The above position is one of 15 doctoral candidate positions of the MicroMan4Health doctoral network (https
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Development Personnel regarding support staff in research and development activities. Specific Requirements Neural data analysis. Signal processing. Optimization and support for signal acquisition in laboratory
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of Sustainable Development at Utrecht University. Where to apply Website https://www.academictransfer.com/en/jobs/363888/phd-spatial-optimization-of-lan… Requirements Specific Requirements We are looking
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forward to receiving your application! Your work assignments The project focuses on the development and optimization of electrocatalysts and electrolyzer systems for sustainable energy conversion