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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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explore new mathematical and computational approaches to represent such systems, drawing on ideas from stochastic processes, four-dimensional (space-time) modelling, complex systems, agent-based modelling
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Description of the offer : Two fully funded 4-year PhD positions are available in Computational Quantum Materials at the School of Physics, University College Dublin. The projects focus
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. Joy Clarke , Mushroom research programme at Teagasc will be co-supervisors. Research Environment The candidate will be registered in the School of Biological and Chemical Sciences at the University
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architecture. It will use state-of-the-art robot-aided acoustic measurements and employ advanced computational and acoustic modeling techniques to create a versatile Acoustic Digital Twin, which will be combined
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-institutional programme of research led by the University of Galway, involving TCD, Technological University Dublin (TUD), Atlantic Technological University (ATU), Dublin City University (DCU), Teagasc and a
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sustainable catalyst platforms. This PhD project, Data-enhanced Quantum Chemistry for Predictive Catalyst Design, aims to Develop computational approaches for the discovery of sustainable catalysts based on low
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architecture. It will use state-of-the-art robot-aided acoustic measurements and employ advanced computational and acoustic modeling techniques to create a versatile Acoustic Digital Twin, which will be combined
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architecture. This project will use state-ofthe- art robot-aided acoustic measurements and employ advanced computational and acoustic modelling techniques to create a versatile Acoustic Digital Twin, which will
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architecture. This project will use state-of-the-art robot-aided acoustic measurements and employ advanced computational and acoustic modelling techniques to create a versatile Acoustic Digital Twin, which will