Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
be based in the School of Computer Science and Statistics at Trinity College Dublin, Ireland and will be funded under the Science Foundation Ireland Investigators award project. The researcher will
-
in additional aspects of biology, bioinformatics and genomics required for successful completion of the programme. The ability to work as part of a team, an interest in industrially focused research
-
will contribute to our ability to understand and predict this critical component of ecosystem function. You will work within group spanning ecological science, engineering, and computer science methods
-
of Education and Health Sciences to undertake a PhD degree is a separate process. Applications can be made by submitting (1) a current two-page academic CV and (2) an expression of interest document
-
risk. These studentships are ideal for candidates with a strong background in computational biology, bioinformatics, population genetics, and statistical genetics and an exceptional interest in
-
also of growing interest to industry.Project supervisor: Dr. Eoin Delaney (Trinity College Dublin).Project locations: School of Computer Science and Statistics, Trinity College Dublin.PhD structure
-
into University of Galway’s community. Living allowance (Stipend): €25,000 per annum [tax-exempt scholarship award]. Computer equipment and funding for travel (e.g. to conferences) as well as attendance
-
science”, led by Dr Susan Hegarty. The PhD position will be focused on developing the citizen science hydromorphology framework, and is open to candidates with strong GIS skills and an academic background
-
Trinity is Ireland’s leading university and is ranked 87th in the world (QS World University Rankings 2025). Founded in 1592, the University is steeped in history with a reputation for excellence in education, research, and innovation, which has been inspiring generations of thinkers for over...
-
scientists from, e.g., Sociology, Political Science, or Economics. The PhD candidate will also develop state-of-the-art optimisation algorithms specifically tailored to the proposed large-scale network models