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Field
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algorithms for entanglement distribution in quantum networks. The purpose of the role is to contribute to the project “Utility Optimization in Quantum Networks: Algorithm Design and Analysis”, working with Dr
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 6 days ago
nationalities. The research project will lay the theoretical foundations for general network steering by: (i) Identifying its genuine concepts and manifestations, (ii) developing tools for its characterization
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Systems: https://www.cs.aau.dk/research/distributed-embedded-intelligent-systems/ The Department of Computer Science features a broad range of synergistic activities within research and education in
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verticals, Unmanned Aerial Vehicles, Integrated Satellite-Space-Terrestrial Networks, Quantum Communications and Key Distribution, Spectrum Management and Coexistence, Tactile Internet, Earth Observation, and
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the development of novel reconstruction methods that can concurrently estimate the sound speed and initial pressure distributions within tissue from PACT data. Reconstruction methods for ultrasound computed
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distributed WaRM experiment (for details see here: https://onlinelibrary.wiley.com/doi/10.1002/ece3.9396). The employment is fulltime for three years. The deadline for applications is March 26, 2026 and the
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related to staff position within a Research Infrastructure? No Offer Description Mission: Develop a new generation of multifunctional smart windows using sustainable inkjet printing technologies. Functions
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technology. Development of cutting edge foundation models for protein design, small molecule property prediction, or protein function prediction Data generation and curation, including molecular simulation and
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generalizations. Trait-based modeling is a promising approach to deal with this complexity and define relationships between quantifiable traits and the distribution and abundance of species. We are combining field
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Prof. Neil Walton (Durham University, UK). The general aim of this project is to develop throughput-optimal entanglement distribution algorithms (both centralized and decentralized algorithms