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Trinity is Ireland’s leading university and is ranked 75th in the world (QS World University Rankings 2026). 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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Trinity is Ireland’s leading university and is ranked 75th in the world (QS World University Rankings 2026). 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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interested in the project, to:- Richard Nair [email protected] with the subject line ‘2026 Plant Traits PhD application’ The first review of candidates will take place on 18th June 2026. We strive for a bias
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for a 4-year fully funded PhD studentship to work on the project ‘The role of ‘baseline’ voice quality in prosodic marking’. The project is funded by the Trinity Doctoral Research Award (PI-led) to Prof
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researcher to join the Research Ireland PUreTex project, which examines the valorisation of waste textiles into high-value materials. The PhD researcher will work closely with the PUreTex team, which includes
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boiling performance only work for the simple shapes that have been empirically tested. The successful PhD student will conduct research in two-phase flows, with a focus on physics-informed machine learning
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Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 31 Dec 2026 - 20:13 (Europe/Dublin) Country Ireland Type of Contract Temporary Job Status Negotiable Is the job
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21 Jul 2026 Job Information Organisation/Company Munster Technological University Department CAPPA Centre Research Field Physics » Optics Physics » Solid state physics Engineering » Electronic
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for the PhD programme at Munster Technological University. Applicants should hold (or be in the final stages of completing) a Master's degree in a relevant field such as physics, electrical engineering
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representations of physical assets and processes—are emerging as a key technology for improving operational efficiency, reducing downtime, and optimizing energy consumption in smart factories. This PhD project aims