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robots. They will be working with a team composed of PhD students, Research Assistants and Postdocs that is developing novel multi-robot architectures for practical, real-world settings. Current solutions
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Associate, you will develop AI-enhanced Digital Twins for solar energy systems, enabling real-time monitoring, predictive maintenance, and performance optimization. You will design modular architectures
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development of open-source tools for the hearing healthcare community. About you You should have a PhD in computer science, biomedical engineering, or a related field with strong expertise in medical image
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experience: Essential criteria PhD in computer science, AI or related area Proven experience of knowledge engineering and semantic technologies such as knowledge graphs, ontologies, data modelling, RDF, RDFS
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activities, including: Observing and contributing to research projects across the School of Architecture, Built Environment, Computing and Engineering. Participating in Faculty Research Groups and
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for network constraints and uncertainty. Collaborating with other researchers on the project, you will also contribute to the design of a supporting cloud-to-edge computing architecture and profit-sharing
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B lymphocytes. Specifically, we investigate how transcription, chromatin architecture, DNA replication and epigenetic features regulate the key processes of antibody somatic hypermutation and class
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Group, School of Computing Science. COIN-3D is a Horizon Europe Twinning Bottom Up action. The project aims to establish strong collaborations with top European research institutions and creates