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through the application of thermodynamic modelling using PHREEQC, a widely used geochemical simulation platform capable of representing complex chemical equilibria in porous materials. The project will
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will undertake doctoral research focused on activity-based travel behaviour, household energy use, and sustainability policy, contributing to the development of causal inference and agent-based modelling
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. The post presents a rich opportunity for training in neuroimaging methods, developmental cognitive neuroscience and computational modelling with DNNs. With Professor Cusack and as part of
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socio-marine ecosystem models Marine and coastal socio-ecosystems such as Dublin Bay are highly complex systems subject to accelerated climate change. They are characterised by interacting biological
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enables the fabrication of spatially complex metal structures with features on the micron-scale. However, our capacity to intelligently design these surfaces is 2 limited, because the models that predict
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models of mushroom farming. This project aims to support the transition towards technology adoption in the mushroom sector through an environmental, social and competitiveness assessment. The main tasks
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catalysts used in chemical processes. The successful candidate will combine state-of-the-art quantum chemical modelling alongside machine learning techniques and contribute to the development of predictive
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-biorefinery LCA model (LCAD2.0 ) to evaluate the environmental sustainability of various feed, food, material and energy value chains derived from grass. They will explore these value chains under various scale
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reputation Where to apply E-mail [email protected] Requirements Research FieldPhysics » OpticsEducation LevelMaster Degree or equivalent Skills/Qualifications Essential: A first or upper second-class
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PhD studentship on developing a living lab digital twin to integrate catchment models and climate adaptation measures for catchment management in Ireland. This PhD is part of a larger interdisciplinary