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, and analysis of future 6G communication networks that are capable of supporting new services for digital ecosystems. Use cases of interest include Security and Efficient Wireless Communication Solutions
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supporting solutions. Performs analysis and design of authentication infrastructure and the use of secure protocols. Provides proactive monitoring and support including incident response for network and
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. (2025). Markowitz-Informed Neural Networks (MINNs): An interpretable deep learning approach to portfolio optimisation. SSRN Working Paper. https://doi.org/10.2139/ssrn.5336779 Random Matrix Theory and
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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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the analysis of genomic and transcriptomic data. Preference will be given to candidates with experience in the use and development of computational tools for theanalysis of regulatory networks. Additional
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on the design and performance analysis of resource allocation algorithms for entanglement distribution in quantum networks. The purpose of the role is to contribute to the project "Utility Optimization
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-for-medical-image-analysis Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/293458/phd-research-fellow-in-de… Requirements Research FieldComputer scienceEducation LevelMaster Degree
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information about the network: https://euraxess.ec.europa.eu/jobs/401249 1. Context and Challenges Title: Physics-Informed Neural Operators (PINO) for Ultra-Fast Tomography: Toward Fundamental and Generalizable
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of protocols and architectures for practical quantum networks. Carry out experimental characterization and performance analysis of components and links for quantum communications. Develop and validate
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BUG-ID is a Marie Sklodowska-Curie Doctoral Network project, funded by the European Commission, Horizon Europe Program. Commencing its activities in January 2026, the Network will provide PhD