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to carry out individual project work in a European country other than their own. The training network “SPACER” is made up of 21 partners, coordinated by Fraunhofer ICT in Germany. The network will recruit a
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country other than their own. The training network “SPACER” is made up of 21 partners, coordinated by Fraunhofer ICT in Germany. The network will recruit a total of 17 doctoral candidates for project work
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country other than their own. The training network “SPACER” is made up of 21 partners, coordinated by Fraunhofer ICT in Germany. The network will recruit a total of 17 doctoral candidates for project work
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. The training network “SPACER” is made up of 21 partners, coordinated by Fraunhofer ICT in Germany. The network will recruit a total of 17 doctoral candidates for project work lasting for 36 months. SPACER aims
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The advertized subproject is fully funded by the Marie Skłodowska-Curie European Training Network “SPACER“. It will be carried out by one doctoral candidate at Fraunhofer ICT, (PhD supervision
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seeking a highly motivated PhD student to join our team to work on the design and implementation of Oscillatory Neural Networks (ONNs) for physics-based computing applications. You as the successful
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they support running optimally under any given circumstances. Artificial intelligence in networking, i.e., applications of AI to improve network performance, maintainability, security, automated repair and other
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prospects for improving energy efficiency and decentralization (adaptation to local energy sources). There is no universally optimal cycle; optimality depends on precise specifications defining the objectives
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partners, coordinated by Fraunhofer ICT in Germany. The network will recruit a total of 17 doctoral candidates for project work lasting for 36 months. SPACER aims to develop new architectures for porous
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the development of meta-optimization techniques that can automatically search for the best algorithm-hardware pair for a given problem. While we have a history of success in optimizing digital