Sort by
Refine Your Search
-
Category
-
Field
-
longitudinal methods and cross-national data analysis to investigate the economic drivers and consequences of grey divorce. The project will explore how individual- and couple-level economic factors—such as
-
/International fees) and offers close mentorship, access to real-world health data, and a bespoke doctoral training programme. How to apply Combine the following into a single PDF: • One-page cover letter
-
such as scRNA-seq, bulk RNA-seq, DNAm analysis, proteomics and clinical data integration to determine how IFN-I responses change during ageing. Application Procedure Applicants should submit a cover letter
-
education, research, and innovation, which has been inspiring generations of thinkers for over 400 years. Post Summary Surrounded by smart devices that collect interpersonal data, we must explore novel ways
-
, 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
-
response to infectious burdens. The other post will investigate the evolution of pathogens over time, uncovering how they have adapted to changing human hosts and environments. Crucially, these data from
-
. Fieldwork on this project will take place in Ireland but there will also be the potential to use data from sites in the UK and Spain. Root and soil analysis facilities, as well as computing resources
-
they would design the project (for more information, see the ‘Application procedure’ below). Application Procedure Informal enquiries are welcome and can be made directly to Dr Christiane Ahlborn, Assistant
-
Doctorate PhD Position” Further Information for Applicants Informal queries can also be directed to Dr Irina Kinchin at Irina.Kinchin@tcd.ie. At Trinity, we are committed to equality, diversity, and inclusion
-
the predictions of opaque models that are widely deployed in high-stakes decision making scenarios. Of particular interest to this project are example-based explanation methods that use individual data points