Sort by
Refine Your Search
-
the latest advances in AI to identify factors in pregnancy, labour and in the early neonatal period that represent increased risks for CP. We will develop novel AI algorithms for the analysis of physiological
-
and operational activities across multiple teams and partners; managing major project milestones, budgets, and reporting; supporting the acquisition of external funding; ensuring scientific excellence
-
stillbirth. Clinical presentations of second trimester pregnancy loss can be mixed and difficult to interpret, emphasising the challenges of identifying multiple contributory pathologies. Investigation
-
research group at the University of Dublin, Trinity College, in collaboration with Dr Siyuan Zhan, is seeking to recruit a postdoctoral research fellow to develop lithium-ion battery management systems (BMS
-
Research Group at the University of Dublin, Trinity College, is seeking to recruit a postdoctoral research fellow to develop novel battery thermal management systems (BTMS). The focus of this post will be (i
-
to develop an AI-powered assistive communication tool to translate Irish Sign Language (ISL) into English. It has strong inclusion and societal impact goals, targeting real-time communication for Deaf users
-
part of a team from the School of Medicine, Trinity College Dublin, and the Department of Public Health HSE Dublin and Midlands region in carrying out a healthcare needs assessment and developing
-
people are functioning in relation to their goals, activities, strivings and interactions with the world. This approach has been developed by TILDA in collaboration with Professor Daisy Fancourt, Director
-
carried out with questionnaires and focus groups which will allow to understand effective strategies to removing barriers to the uptake of e-micromobility solutions. An app will be also developed and
-
collaborators in the Royal College of Surgeons in Ireland, Maynooth University and the University of Pisa, Italy. The aim of this project is to develop effective antimicrobial therapies which can be efficiently