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
-
and data analysis. Excellent interpersonal and communication skills. Task-related Competencies Design and prepare research materials and conduct analyses of the research findings. Work collaboratively
-
(stipend €25,000 p.a. + EU/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
-
; Maynooth University, National University of Ireland Maynooth | Maynooth, Leinster | Ireland | about 2 hours ago
into their ideology and practices. For more information on the project, you can visit this website: https://cordis.europa.eu/project/id/101170033 . For more information on the profile of the Principal Investigator, see
-
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
-
) 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.
-
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
-
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