Sort by
Refine Your Search
-
Listed
-
Employer
- University College Cork
- University College Dublin
- MAYNOOTH UNIVERSITY
- University of Galway
- Technological University Dublin
- Atlantic Technological University
- Dublin City University
- Maynooth University
- NIBRT
- Nature Careers
- RCSI - Royal College of Surgeons in Ireland
- Trinity College Dublin
- 2 more »
- « less
-
Field
-
Economy strand of the NorseMap Project based in the School of English and Digital Humanities at UCC. NorseMap is a 5-year project funded by the European Research Council, using citizen science methodologies
-
expertise in Old Norse-Viking Studies and/or Cultural Economics, to lead the Branding & Cultural Economy strand of the NorseMap Project based in the School of English and Digital Humanities at UCC. NorseMap
-
University Business School (CUBS) to join a COALESCE project focused on global AI governance, trust, and ethics for sustainable digital health. This project, funded by Research Ireland, aims to develop, deploy
-
, and ethics for sustainable digital health. This project, funded by Research Ireland, aims to develop, deploy, and evaluate a comprehensive AI governance framework for healthcare organisations during a
-
digital datasets, artificial intelligence and statistical methods to quantify urban environmental metrics (e.g. emissions, air pollution and greenspace) and urban dynamics in unprecedented accuracy and
-
advancing the science underpinning sustainable, healthy and liveable cities of the future. This frontier research employs largescale digital datasets, artificial intelligence and statistical methods
-
applications for a 12-month position as either a Research Assistant (Level 2) or Postdoctoral Researcher (Level 1) (depending on qualifications and experience), with a speciality in statistical image processing
-
methods, leveraging digital twins, data analytics, and reliability engineering. In parallel, the role includes project oversight responsibilities, supporting effective coordination of consortium activities
-
production lines can reconfigure in real-time, in collaboration with domain experts (e.g. operators, planners, designers) that are supported by digital twins, AI, and predictive analytics. Process equipment
-
production lines can reconfigure in real-time, in collaboration with domain experts (e.g. operators, planners, designers) that are supported by digital twins, AI, and predictive analytics. Process equipment