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-layer security model that fortifies data protection across diverse infrastructures. Leveraging hardware-accelerated primitives and energy-efficient protocols, this project ensures quantum resilience while
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. Niamh Cahill. The core concept of this project will be to bring together and deploy cutting-edge approaches to small-area population estimation and modelling of population movements in the context
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-generated cell and mouse models, protein structure-function analyses and modelling along with a range of cell function approaches. The School of Biochemistry and Cell Biology provides a supportive research
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to bring together and deploy cutting-edge approaches to small-area population estimation and modelling of population movements in the context of examining population exposure to extreme sea levels in low-elevation
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hands-on experience in video diffusion models and generative AI. The role will focus on core research and development of advanced of multimodal video generation systems. The appointee will work closely
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developed by the Offshore Renewable Energy group to model project scenarios. • Collaborating with team members to adapt simulation tools based on project needs. • While primarily contributing to the IDEA-IRL
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production. • Direct experience and a strong understanding of structural analysis techniques. • Experience with validation of biological test compounds in relevant models
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interdisciplinary as it supports the advancement of constraint programming, machine learning, and artificial intelligence domains. The Post-Doctoral Researcher will be expected to perform research and development in
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vision, IoT sensors, and blockchain to monitor food quality, safety and animal welfare in real-time and enhance transparency. AI and machine learning will analyse data from pilot sites to identify
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candidate will lead the design and modelling of thermally regulated DNA motifs and contribute to the development of an automated and renewable DNA computing prototype. The role encompasses both wet-lab and in