19 biosignal-processing-machine-learning Fellowship positions at Trinity College Dublin
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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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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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machine-learning models to investigate how brain, environment and social factors influence cognition, ageing and neurodegenerative disease. The role will contribute primarily to WP6 and related analytical
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structured learning, mentorship, pilot project development, and engagement with clinical and community settings. Upon completing the program, fellows join a lifelong global network of Atlantic Fellows working
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structured learning, mentorship, pilot project development, and engagement with clinical and community settings. Upon completing the program, fellows join a lifelong global network of Atlantic Fellows working
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the global impact of dementia, with particular emphasis on underserved and marginalised communities. Fellows engage in an immersive academic and experiential curriculum combining structured learning
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wave exposure assessments. The post holder will also implement additional advanced monitoring, including tidal, wave, and suspended sediment transport processes at all Irish focal sites within the CMAP
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transferable insights with the potential to inform sectoral thinking and practice. (2) An impact evaluation of the newly established Learning Innovation & Research Hub. College has established this Hub
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, School of Psychology, Trinity College Dublin. The successful candidate will join a research team working on the PRACTICE (Process Redesign and Clinical Transformation through Iterative Co-Design and
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. Currently, consideration of population health outcomes and inequalities is variable, often implicit, and dependent on individual expertise rather than embedded processes. This results in inconsistent decision