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investigates the thermodynamic modelling of chloride migration in concrete exposed to accelerated chloride ingress conditions, with particular focus on replicating and predicting the results of the NT Build 492
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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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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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project For an information package including full details of the post, selection criteria and application process see https://ore.ucc.ie/. The University, at its discretion, may undertake to make
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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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computational complexity and power consumption. The project will involve the modelling and characterization of RF power amplifiers, development of AI-based linearization algorithms, FPGA implementation and
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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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developing representations, using neuroimaging with fMRI and OPM-MEG, and to model the developmental process using computational models from AI. The project aims to better understand infant cognition, develop
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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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funding from the UCD School of Chemistry Sir Walter Hartley Scholarship scheme. Fees (EU Level and non-EU Level) will be also covered. See https://www.ucd.ie/students/fees/eufeeassessment/ for more