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Field
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machine learning models to extend their compatibility with problems from mechanical engineering and materials research that could not be addressed so far due to their high complexity, which prevents
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operation in hybrid quantum–classical networks across intra- and inter-domain settings. The candidate will study architectural models, including the placement and roles of quantum repeaters, memories, and
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wide range of disruptions and response strategies Background The railway network in the United Kingdom is both complex and extensive. In 2024, it recorded approximately 1.7 billion passenger journeys
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network that equips early-career researchers with solid theoretical foundations, advanced empirical methods, and the ability to engage across disciplines. We welcome candidates with strong academic
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Gottfried Wilhelm Leibniz Universität Hannover | Hannover, Niedersachsen | Germany | about 2 months ago
. They undergo a complex developmental life cycle including growth as filamentous networks and formation of unicellular spores, making them a powerful model to study how coordinated, multicellular-like behaviours
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towards the next-generation co-design platform, accelerating the development cycle for complex interdisciplinary systems. Motivation Aircraft design is a highly complex process that must balance performance
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education in digitalization and electrification including renewable energy sources, electric vehicles, industrial IoT, AI, 6G communication and wireless sensor networks as well as research and education
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About Us The successful candidate will join our new MSCA Doctoral Network: VISIONBRAIN - Cutting-edge Human In Vitro And In Silico Biomedical Tools On Brain Disorders. This EU-funded project will
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modelling, data assimilation, and multi-scale neural network architectures applied to spatio-temporal data. The development of these methods is motivated by a concrete and important application: inferring gas
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tasks The scope of the PhD position(s) fall within the areas of novel low-complexity neural network architectures, generative audio techniques, and the integration of large language and speech foundation