-
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
-
neuroimaging methods to better detect disrupted function following neonatal brain injury, and identify new more energy efficient learning algorithms that could reduce the economic and environmental cost of AI
-
neuroimaging methods to better detect disrupted function following neonatal brain injury, and identify new more energy efficient learning algorithms that could reduce the economic and environmental cost of AI
-
. This project is one component of a programme of work to improve services for children with cerebral palsy, including work in TCD and collaboration with RCSI. As such, the post holder will be expected
-
delivering the research programme, contributing to the project's technical architecture, software development, dissemination of findings and overall research impact. The postholder will work collaboratively
-
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
-
pilot, refine and operationalise an Irish-specific Health Equity Audit (HEA) toolkit to support real-time service improvement and evaluation in the Irish health service. This collaborative project is
-
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
-
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
-
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