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teaching and research excellence For information on moving to Ireland, please see www.euraxess.ie Detailed Project Description: This PhD is part of TRACE (Transforming Agri‑Food and Seafood Supply Chains
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modification, synthetic chemistry, biochemical analysis and proteomics techniques. Research environment: You will work in a supportive interdisciplinary group in the Department of Chemistry. Our laboratory is
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: School of Chemistry Salary: €25,000 annual stipend plus academic fees Hours of Work: 39 hours per week Job category & level
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the Joint Research Centre (JRC) of the European Commission. The PhD student will spend 2 years at JRC, located in Ispra (Italy), and 2 years at the University of Galway. JRC is part of the European Commission
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education, research, and innovation, which has been inspiring generations of thinkers for over 400 years. Thrive: Trinity College Dublin's Strategic Plan 2025 - 2030 The PhD studentship is part of the SEAI
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ambitious, inquisitive and innovative individuals to join our multidisciplinary research team. As part of a dynamic and collaborative environment, you will contribute to breakthrough work that supports
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PhD Scholarship in High-level quantum chemistry calculations on key reactions in ammonia combustion.
international peer-reviewed journal articles. Supervise and mentor undergraduate students in quantum chemistry calculations. Day to day responsibility for the performance of all duties associated with
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of these studentships (2026-30), the successful candidates will be based at the School of Education in UL. They will be supervised by Prof. Paul Conway, Prof. Aisling Leavy (MIC) and Prof. Emer Smyth (ESRI) and will work
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at the University of Galway. This position is available from September 1, 2026 to December 14, 2027, subject to satisfactory progress. Candidate will work closely with supervisor (Dr Cassie Smith-Christmas) in
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part of the Sustainability Institute at University College Cork is seeking a highly motivated PhD candidate to undertake a fully funded PhD studentship focused on AI-enabled fault detection, diagnostics