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Vacancies PhD position on Dependability Driven on Device Learning Algorithms for Embedded Neuromorphic Architectures Key takeaways Edge devices that can learn autonomously while guaranteeing
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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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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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computationally represent and learn evolving team norms in HI systems? How can we design AI agent architectures that integrate team norms into their decision-making processes to ensure that both AI and human
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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
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measuring the environmental impact. This impact can be measured and calculated using our Software Energy Lab, which has multiple test machines with GPUs and, in the future, AI accelerators. Development teams
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networks. In the Future Network Services (FNS) program, leading ICT- and semiconductor companies and research institutions will jointly research specific parts of 6G: software antennas, AI-driven network
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schemes and schemes for sports and cultural activities external link , as well as discounts on software and other IT products. We also offer access to additional employee benefits through our Terms
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. The challenges lie in exploiting the advantages of cryogenic operation, such as the lower thermal noise, while circumventing device non-idealities by inventing innovative circuit architectures and
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, Computer Systems, or another relevant specialisation; strong academic performance in university-level courses in computer science, in particular topics related to computer architecture eager to tackle