Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University College Cork
- Trinity College Dublin
- MAYNOOTH UNIVERSITY
- University College Dublin
- RCSI - Royal College of Surgeons in Ireland
- University of Galway;
- ;
- MUNSTER TECHNOLOGICAL UNIVERSITY
- Maynooth University
- UNIVERSITY COLLEGE DUBLIN (UCD)
- University College Dublin;
- University of Limerick
- University of Limerick;
- Atlantic Technological University;
- Dublin City University
- Maynooth University, National University of Ireland Maynooth;
- NIBRT
- Technological University Dublin
- The CoReACTER (@ University College Dublin)
- Trinity College Dublin, The University of Dublin;
- 10 more »
- « less
-
Field
-
robust research and data analysis methods. This role will also deliver other research activities, specifically conducting an impact evaluation of key outreach and engagement activity, performing
-
assessment of antimicrobial activity and validation of biological test compounds in relevant models (in vitro and/or in vivo). Direct experience and a strong understanding of structural analysis techniques
-
regulatory agency guidelines. The role of Research Assistant is to ensure the data is accurate and consistent before it is passed on to the study team for analysis which will determine the outcome of
-
tested directly in humans. This project takes a multifaceted approach, including 1) a novel randomized controlled trial (RCT), 2) data-driven research through analysis of robust nutrition and ageing
-
multiparameter flow cytometry, PCR and multiplex metabolic and- cytokine analysis. You will play a key role in organising, maintaining and undertaking tissue culture and ex vivo culture based experiments. You
-
of reference (academic) and one from clinical area (Assistant Director of Nursing) • *Research proposal of approx. 3,000 words, to include specifically the following elements: - Abstract (300 words, approx
-
) and mechanistic assays. • Proficiency in imaging and data analysis tools (e.g., CellProfiler, ImageJ). Knowledge & Experience (Desirable) • Knowledge of cancer biology and therapeutic resistance
-
to governance and stakeholder engagement, but also potentially data analysis and device testing at the Lir NOTF. The successful applicant will work under the supervision of Dr Frances Judge and Dr. Jimmy Murphy
-
. The project uses cutting-edge machine-learning techniques from computer science to unpack how populist actors engage with security themes. This will comprise multi-modal analysis of election manifestos, online
-
Assistant is to ensure the data is accurate and consistent before it is passed on to the study team for analysis which will determine the outcome of the trial. Project Title: Cancer Trials Cork @CUH Post