Sort by
Refine Your Search
-
Listed
-
Employer
- University College Cork
- MAYNOOTH UNIVERSITY
- University College Dublin
- MUNSTER TECHNOLOGICAL UNIVERSITY
- Trinity College Dublin
- RCSI - Royal College of Surgeons in Ireland
- Technological University Dublin
- Maynooth University
- Nature Careers
- Teagasc
- University College Dublin;
- University of Dublin, Trinity College
- University of Galway
- University of Galway;
- 4 more »
- « less
-
Field
-
, and metabolomics. The ideal candidate will have a PhD in Biology, Microbiology or Genetics with an interest in Fungal Biology and Antifungal resistance. Salary: Post Doctoral Researcher: € 45,847 p.a (1
-
quantitative techniques including data linkage and analysis of both cross-sectional and longitudinal observational data. The aims of the project are: • To quantify the impact of social inequities
-
yet are essential to account for their nature and functioning. The post-doctoral researcher will work with the Research Team to address this lacuna through comprehensive analysis across multiple in
-
consists of four work packages, involving quantitative techniques including data linkage and analysis of both cross-sectional and longitudinal observational data. The aims of the project
-
production. • Direct experience and a strong understanding of structural analysis techniques. • Experience with validation of biological test compounds in relevant models
-
novel analysis of fascism during the interwar period and the Second World War, understood as a global phenomenon. They will engage in archival research, co-organise the activities of the project and
-
novel analysis of fascism during the interwar period and the Second World War, understood as a global phenomenon. They will engage in archival research, co-organise the activities of the project and
-
with the Principal Investigator Professor Cormac Sreenan and the gVID project Technical Lead. A suitable candidate will have a PhD, 8 years of research/industrial experience and a keen interest in
-
the area constraint programming, machine learning, and artificial intelligence within an established group of researchers and PhD students. The nature and structure of the Phase 2 Research Ireland Centre
-
Science, Computer Engineering, Informatics, Data Science, Computational Social Science, or adjacent disciplines with research experience in agent-based modelling, social data science, or social network analysis and