Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
project will address these gaps by employing advanced longitudinal methods and cross-national data analysis to investigate the economic drivers and consequences of grey divorce. The project will explore how
-
Salary: €32,962 - €42,943 p.a. IUA Salary Scale For an information package including further details of the post see https://ore.ucc.ie/ Informal enquiries can be made in confidence to Miguel Fernandez de
-
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
-
, the ideal candidate will also have an interest in developing quantitative data analysis skills. The PhD is supervised by Dr. Ann-Marie Creaven (expert in loneliness) and Dr. Aoife Whiston (expert in network
-
manufacture. The PhD candidate will gain expertise in gene therapy production as well the experimental and computational steps required to capture and analyse transcriptional data at single cell resolution
-
) out to 2050. Tasks include compiling big-data inputs, developing CNOSSOS-EU compliant simulations, validating predictions with field/lab measurements and mapping future hot-spots. Ideal profile: honours
-
and transferrable skills. Apply by 6th July 2025: Application process, entry requirements and contact information is detailed in each of specific call.
-
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
-
. 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
-
, 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