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Swedish Wireless Innovation Network center SWE-WIN, which aim to advance resilient, robust, and energy-efficient wireless networks capable of supporting emerging services. The research focuses on
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workplace will be at the Biology division at The Department of Physics, Chemistry and Bioogy (IFM). Professor Anna Eklöf: https://liu.se/en/employee/annek49 ReDiLEEP network: https://redileep.eu
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virtualised container-based testbeds for experimental research on network security, integration of industrial use cases and digital twins, AI-based domain-specific emulations for new generation networks
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. Your workplace Your workplace will be at the Biology division at The Department of Physics, Chemistry and Bioogy (IFM). Professor Anna Eklöf: https://liu.se/en/employee/annek49 ReDiLEEP network
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division at The Department of Physics, Chemistry and Bioogy (IFM). Professor Anna Eklöf: https://liu.se/en/employee/annek49 ReDiLEEP network: https://redileep.eu/ What We Offer A 48-month full-time
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of Physics, Chemistry and Bioogy (IFM). Professor Anna Eklöf: https://liu.se/en/employee/annek49 ReDiLEEP network: https://redileep.eu/ What We Offer A 48-month full-time doctoral position at
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contribute to Linköping University meeting challenges of today. Our fundamental values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together
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network models of brain’s cognitive and perceptual capabilities. In particular, you are expected to build and study cortex-inspired feed-forward and recurrent networks within the context of semi
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experimentally. The research will be broadly situated in machine learning, including (but not limited to) algorithmic knowledge discovery, graph mining and social network analysis, optimization for machine
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fluid dynamics, initially focusing on quantum-inspired techniques such as tensor networks and tensor-network-based machine learning. You will then investigate how these methods can be reformulated and