58 maynooth-university-programmable-city-project PhD positions at University of Birmingham
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Project Overview We are inviting applications for a PhD position focused on the development of porous materials for key challenges in decarbonization and thermal energy storage (TES). This project
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demand and occupancy, influencing the sector's long-term decarbonisation. This project will address these gaps by evaluating technological and behavioural interventions and their interactions with occupant
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project, we will analyse the dynamical processes driving tropical atmospheric rivers, their interactions with low-pressure systems such as monsoon lows and tropical cyclones, and the skill of the Met Office
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across domains, even with limited data. Leveraging recent advances in foundation AI and availability of muti-modal data, this project aims to (overall workflow is in Figure 1): - identify and classify
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. Yet, many stellar and planetary parameters remain systematically uncertain due to limitations in stellar modelling and data interpretation. This PhD project will develop Bayesian Hierarchical Models
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the rich, unstructured information found in clinical notes and cannot effectively gather data on lifestyle and social determinants of health. This PhD project will pioneer a novel, hybrid AI framework
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The emergence of 3D concrete printing (3DCP) is reshaping the future of construction, offering unprecedented design freedom, material efficiency, and automation. Unlike conventional concrete casting
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at the University of Birmingham but would be based at the UK Centre for Ecology and Hydrology. References: This project is offered through the CENTA3 DLA, funded by the Natural Environment Research Council (NERC
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friendly technologies that benefit society. For instance, emulsion-based systems are used as delivery vehicles in mRNA vaccines. The project The newly established Fielden Group (fieldengroup.net) aims
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problem is global in scope, affecting both developed and developing nations, and demands innovative, scalable solutions. This PhD project aims to revolutionize corrosion prediction by integrating physics