Sort by
Refine Your Search
-
30 Months, Specific Purpose Whole-Time Post Position Summary Applications are invited for the role of Research Assistant, which will contribute to an exploration of the human and societal aspects of climate change and the just transition. We are seeking an enthusiastic, creative and...
-
to provide data-driven solutions and policy recommendations for long-term housing resilience. The post will be based within the Department of Civil Structural and Environmental Engineering with opportunities
-
Post Summary Research Fellow The Substance Use and Mental Health Interventions using Digital Technology (SUMIT) project team formed and initiated a strategic all-Ireland engagement process over
-
involving 10 steps to establish Urban Greening Plans. These steps include identifying and activating financing mechanisms for UGPs. This framework approach will be tested in cities of different spatial and
-
. Liaise with industry partners to support technical development and potential technology transfer. Contribute to project reporting, dissemination, and deliverable preparation. Publish high-quality research
-
opportunity has arisen to join the Department of Economics at Cork University Business School to conduct a health technology assessment of Electrochemotherapy for skin cancer treatment in Ireland. The primary
-
, use and regulation of technology from a time perspective across all aspects of life from children, people with disabilities, people in the workplace, to healthcare and social inclusion for older people
-
advancements in trustworthy AI and Software Engineering. Post status: Specific Purpose Contract Hours of Post: 39 hours per week Salary: Appointment will be made on the SFI Team Member Salary Scale for New Post
-
sequencing to support a DAFM (Department of Agriculture, Food and Marine) funded project entitled “Detect PNP: Detecting plant nursery pathogens using HTS technology”. The project aims to provide methods
-
clinical insights to the project and expertise in fetal monitoring. The candidate will work with signal processing engineers to label clinical data to enable AI models learn how to more accurately automate