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AI models into complex industrial and urban environments. Expertise in designing distributed architectures for IoT, edge, and cloud. Proficiency in handling large-scale data and optimizing information
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; expression and purification of proteins; structural determination to resolve active-site architecture; activity assays to quantify kinetics and selectivity under operationally relevant conditions; and multi
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. Our research is structured around two main pillars: Network resilience and sovereignty, i.e., research on networking architectures and mechanisms that keep critical networks and applications
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structured around two main pillars: Network resilience and sovereignty, i.e., research on networking architectures and mechanisms that keep critical networks and applications they support running optimally
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multimodal data, dynamic updates, and scalable semantic interoperability in large-scale DPP systems. Particular emphasis will be placed on Representation Learning techniques, Transformer-based architectures
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scalable semantic interoperability in large-scale DPP systems. Particular emphasis will be placed on Representation Learning techniques, Transformer-based architectures, Large Language Models (LLMs), Natural
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work within Norwegian municipal contexts. It aims to provide new knowledge about how architectural dimensions such as design, neighborhood layouts, and environmental factors influence the experiences
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be able to demonstrate broad knowledge of deep neural architectures as applied to core NLP tasks. The position presupposes a PhD degree or equivalent in Natural Language Processing, or in
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for transformation and harmonisation of various data sources, and integrations with other software solutions in the context of data analysis/AI in life science research. Architecture and development of novel solutions
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of Design for Sustainability. The Department is part of the Faculty of Architecture and Design , which also incorporates the Trondheim Academy of Fine Art. The department has staff both in Trondheim and