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Are you interested in shaping the future of intelligent and secure computing systems where artificial intelligence meets reliable embedded hardware? We are looking for a motivated PhD candidate, as
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pursues the formalisation of computing in an open access, universal repository. Our vision is to unlock the combined potential of humans and artificial intelligence (AI) for the rapid and reliable
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relationships between powder composition, microstructure and instant functionality, ultimately providing new strategies for designing dairy powders with faster, more reliable and more robust reconstitution
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between 1990 and 2016. As cities expand and urban heat intensifies, efficient and reliable cooling infrastructure becomes critical. Yet current systems suffer from persistent challenges: design oversizing
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in Skagen, Denmark, one of Northern Europe’s busiest anchorage hubs. The SPARK project will showcase a scalable, reliable, and cost-effective offshore-onshore power supply solution, reaching TRL 8
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for Quantum Communication Networks and Applications (QCNA ) is a Norwegian research centre with partners in Scandinavia and Japan. Its goal is to design secure and reliable quantum communication protocols and
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software. Pre, mid, and post-training, adaptation, and evaluation of large language models and foundation models for biological, genomic, and phylogenetic tasks. Reliable, reproducible, and auditable AI
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solutions that combine low energy consumption with reliable and safe operation in compliance with relevant standards and regulatory requirements. A key scientific challenge addressed in this project is the
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self-learning autonomous robotic systems for reliable operation in extreme environments. Our research strengthens robotic autonomy and resilience, enabling systems to operate safely and with minimal