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July 9th 2025; interview of shortlisted candidate to occur July 17th- 18th. Informal enquiries can be directed to mcelherm@tcd.ie (Dr Matt McElheron; computational biology lead) and nbourke@tcd.ie (Prof
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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
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of €25,000 per year for up to four years. The candidate will be supervised by Dr. Nessa Lynch, Matheson Lecturer in Law, Innovation and Technology with co-supervision from the Department of Business
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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
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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
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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
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if applicable. In your cover letter, please take the time to outline your interests, your goals, and why you’d be good fit in our lab. Closing date: 12 Noon, May 15 2025 At Trinity, we are committed to equality
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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...
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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
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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