Sort by
Refine Your Search
-
providing photonics knowledge/skills and system integration/prototyping solutions for SMEs. Critical to this is the employment of senior research engineers and PRDAs to lead and implement the industrial
-
validation) of the fluid mechanics of a sample probe washing process in an immunoassay analyser system. The analysis methods will include computational multiphase fluid dynamics modelling, in laminar and
-
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
-
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
-
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
-
heightened code-development efficiency, heightened code-development quality, heightened developer experience and heightened developer skill sets. These improvements will be disseminated in the form of journal
-
to design, lead and implement a defined programme of research and full stack software engineering in support of the Abilta project, developing, evaluating and translating innovative AI-enabled
-
Engineering (TCBE) and the Advanced Materials and Bioengineering Research Centre (AMBER) in Trinity College Dublin. Prof. Lally leads a multidisciplinary research group in the School of Engineering at Trinity
-
Engineering (TCBE). Prof. Lally leads a multidisciplinary research group in the School of Engineering at Trinity College Dublin. The goal of the Lally lab is to develop in vitro and in-silico testing platforms
-
and learning practice. The aim of this evaluation is to examine the implementation of the Hub and its funded projects during the pilot phase, identify strengths of the model and operational structure