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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
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liveable climate, securing and restoring biodiversity and the ecosystem services provided by nature, adapting to climate change, and reversing water degradation, which require collaborative cross-border
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liveable climate, securing and restoring biodiversity and the ecosystem services provided by nature, adapting to climate change, and reversing water degradation, which require collaborative cross-border
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Emergency Coordinators, Incident Commanders, Responders and Observers in a timely fashion. Geo-AI can be classified as an emerging field which attempts to capture, process and model real-world environments
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Science, Computer Engineering, Informatics, Data Science, Computational Social Science, or adjacent disciplines with research experience in agent-based modelling, social data science, or social network analysis and
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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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interdisciplinary study that will assess the pre-/and post-radon concentrations following deep energy-retrofits scenarios of the large-scale national renovation strategy. INFORM will utilise a building physics model
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concentrations following deep energy-retrofits scenarios of the large-scale national renovation strategy. INFORM will utilise a building physics model (CONTAM), which will be parameterised based on representative
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, Mathematical Modelling and Self-Learning Systems, and Data Science and Analytics as well as a strong PhD programme. The Mathematics Group comprises nine permanent members of staff working across the areas
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-clinical models. They will coordinate and participate in network collaborations to investigate tissue-resident immunity and protection against challenge. They will work closely with an experienced graduate