54 evolution "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at MAYNOOTH UNIVERSITY in Ireland
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University is an equal opportunities employer Where to apply Website https://www.timeshighereducation.com/unijobs/listing/404670/research-assistant/… Requirements Additional Information Work Location(s) Number
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applications will not be accepted. Maynooth University is an equal opportunities employer The position is subject to the Statutes of the University Where to apply Website https://www.timeshighereducation.com
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Department: Research Development Office Vacancy ID: 039345 Closing Date: 28-Jan-2026 Maynooth University is committed to a strategy in which the primary University goals of excellent research and
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Department: Development & Alumni Relations Vacancy ID: 039903 Closing Date: 01-Mar-202 Maynooth University is committed to a strategy in which the primary University goals of excellent research and
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across IT Services, the post‑holder will support core business processes and contribute to the continuous development and improvement of associated services. Salary: Administrative Officer II: €46,418
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Department: Research Development Office Vacancy ID: 039343 Closing Date: 28-Jan-2026 Maynooth University is committed to a strategy in which the primary University goals of excellent research and
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the strategic development and implementation of Maynooth University’s widening participation community engagement strategy ensuring alignment with national and institutional strategic objectives. The Widening
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researchers and a multidisciplinary team across institutions, contributing to the development, testing, and application of tools, datasets, and analytical methods used within the project. This role is intended
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Department: Research Development Office Vacancy ID: 039063 Closing Date: 25-Jan-2026 Maynooth University (MU) is committed to a strategy in which the primary University goals of excellent research
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the Department of Chemistry. The position is funded under a Research Ireland Pathways programme and will focus on the development of predictive computational models for advanced functional materials