Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
School of Mathematics and Statistics is seeking to recruit a post-doctoral researcher with experience in statistical modelling, Bayesian methods and related computational skills. This is a temporary, 21
-
on our exciting mission “To educate, nurture and discover for the benefit of human health”. We seek candidates whose experience to date has prepared them to contribute to our commitment to the “Race
-
available treatment. In a secondary objective aimed at providing mechanistic understanding, the candidate will identify drug-drug interactions and study the cellular mechanisms at play in induced pluripotent
-
an opportunity to address these fundamental research challenges through original scientific investigation. The objective is to conduct research that advances our understanding of satellite-based biodiversity
-
to inform effective climate services in realising the national objective of a climate resilient Ireland. EXACT will develop a catalogue of hydrometeorological extremes for Ireland, undertake detection and
-
. At the core of the project is the production of knowledge to inform effective climate services in realising the national objective of a climate resilient Ireland. EXACT will develop a catalogue of
-
be expected to contribute to all aspects of the laboratory work building towards successfully meeting the goals and objectives of the project. UCC is an accredited research organisation and as such can
-
, Cystinosis. Specifically, the Post-Doctoral Researcher will investigate whether a new combination therapy is more effective than the current available treatment. In a secondary objective aimed at providing
-
University, University of Limerick, University College Cork, Trinity College Dublin, and Royal College of Surgeons Ireland. The prime objective for CÚRAM is to radically improve health outcomes for patients by
-
frameworks that integrate experimental and computational datasets. The overarching objective of this work is to establish predictive, patient-specific models capable of forecasting clinical outcomes in breast