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#content5-406934 , is participating in cutting-edge CELTIC MECON research project, focusing on network automation in 6G network architectures. The candidate aims to work in the following areas: Machine
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-powered data analysis. Publish reusable software and data artifacts where relevant. Communicate research outcomes through papers and talks at conferences, workshops, and beyond. Actively collaborate with
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build the sustainable companies and societies of the future. At the EISLAB division you find Cyber-Physical Systems (CPS) who focuses on integrated software and application architectures with
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the molecular network to the plant-level architecture and responses. You will analyse changes relative to the Arabidopsis regulatory networks and how these may impact response to drought and heat stress. You will
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
Sweden and beyond. About WASP Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated
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machine learning, with the goal of revealing how genome architecture shapes physiology, ecology, and evolution. Unlock hidden biological patterns while developing key computational and academic skills. Your
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infrastructure. For reduced (CapEx) costs, greater flexibility and faster evolution, mobile core/radio network functions today are largely realised in software over commodity computing hardware in private/public
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driver of primary production, yet anthropogenic discharges from agriculture and aquaculture often lead to eutrophication. This project will develop innovative sensor software capable of quantifying a suite
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architecture Design software architectures, and develop software libraries and perform computational simulations Lead the development of a state-of-the-art immersive visualization facility Lead the development
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calculated using our Software Energy Lab, which has multiple test machines with GPUs and, in the future, AI accelerators. Development teams currently lack guidance on how to create sustainable systems. You