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science background, preferably in algorithm design, system programming, networking, operating system, and computer architecture. Experience in low-latency RPC, network stacks, distributed systems, host data plane
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classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk ). CLASSIQUE will address a suite of fresh research
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, CLASSIQUE focuses on a critical challenge: how to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https
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challenge: how to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk). CLASSIQUE will address a
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allowance (salary) a mobility allowance (for relocation, etc.) a family allowance, long-term leave allowance (if applicable) research, training, and networking events secondments Where to apply: https
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Job Description Within the project “Silicon carbide photonic integrated circuit (SiCPIC)”, funded by the European Union’s Horizon 2020 Research and innovation Programme under the Marie Skłodowska
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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
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description At the Faculty of Engineering and Science, AAU
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Dynamics, Bioprocess engineering, Data Science, Machine Learning, Computational Chemistry Offer Description MSCA Doctoral Network machinE LEarning for inteGrated and multi-parAmetric eNzyme and bioproCess
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Offer Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer