Sort by
Refine Your Search
-
authorities with the predictive intelligence to intervene before escalation, directly supporting the EU’s "Vision Zero" goals. Within the project, the key roles of University of Galway include predictive
-
on predictive performance, the research will investigate methods to balance model accuracy and computational complexity, enabling the development of more sustainable modelling approaches. The project combines
-
strands. • Bespoke modelling of tumour metabolic function using 3D and 4D imaging data • Cancer patient risk prediction using machine learning (with experience in particular in radiomics and transcriptomics
-
of this position is to assess the current capabilities of quantum computing for Numerical Weather Prediction (NWP), with a focus on developing hybrid quantum-classical or quantum-AI approaches. This includes
-
Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
patient risk prediction using machine learning (with experience in particular in radiomics and transcriptomics) • Multi-omics for non-cancer health screening applications, • Machine learning modelling
-
calculations. The UCC logistics models simulate installation, operation and maintenance, and decommissioning task by task against hourly wind and wave time series spanning the project lifetime, with Monte Carlo
-
) and involves the weather resolved-logistics modelling that feeds the LCOE calculations. The UCC logistics models simulate installation, operation and maintenance, and decommissioning task by task
-
behaviour and weight maintenance through modulation of microbiota-gut-brain signalling pathways. The postdoctoral researcher will work within a multidisciplinary team led by Dr Harriet Schellekens in