Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
project “Ground Rigid Install Pile Anchor – GRIP Anchor”. The project is being led by Gavin and Doherty Geosolutions (GDG) with the aim of undertaking laboratory testing and numerical modelling of a novel
-
“Multiscale modelling of soil-structure interaction for renewable energy applications”. An improved understanding of soil-structure interface behaviour can lead to significant cost savings for offshore wind
-
growth curve models, staggered difference-in-differences) to analyse post-divorce economic trajectories. Synthetic control methods may be employed to establish causal relationships. Application Procedure
-
Measurement Frameworks. Project Overview: The Science & Technology Entrepreneurship Education and Research (STEER) project will create best-practice teaching models, scholarly research, and scalable
-
2025. No late applications will be accepted. Please note that an appointment to posts advertised will be dependent on University approval, together with the terms of the employment control framework
-
to predicting who will internalise stigma the most, though, social psychology has not had much to say. Most research focuses on individual difference variables such as personality traits and self-esteem in
-
that these cells could be deployed to control intracellular S. aureus. The project will employ cutting edge technologies (transcriptomics, in vivo infection models, single cell metabolic analysis) to profile
-
to forward a copy of your CV along with your academic referees. Informal enquiries to:Colin.clarke@nibrt.ie or niall.barron@nibrt.ie Funding:Annual stipend of €25,000 plus fees for 4 years.Project 2: Model
-
– Modelling the Future Noise Environment – Trinity College Dublin (School of Engineering) You will build national-scale models that predict road, rail, air and emerging sources (UAVs, heat pumps, offshore wind
-
, flexibility becomes an essential feature, driven by the development of flexible components and open networks. Development of Digital Twins, capable of building dynamic models from information gathered form live