65 web-programmer "https:" "https:" "https:" positions at MAYNOOTH UNIVERSITY in Ireland
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Deadline 25 Jan 2026 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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member of the School of Nursing team to facilitate the provision of clinical skills and simulation sessions for undergraduate and postgraduate programmes. Furthermore, the successful applicant will play a
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Ireland Application Deadline 15 Feb 2026 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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to career stage. The appointed candidate will be expected to make a strong contribution to the teaching programme of the Department and undertake teaching duties on the Department’s undergraduate and
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appointed will have a record of teaching, research and publication, appropriate to career stage. They will be expected to make a strong contribution to the teaching programme of the Department and undertake
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of Health, Wellbeing and Law. This new Professor post is aligned to the Health & Wellness Beacon Research Beacon, under Maynooth University’s Strategic Plan 2023–2028. The appointee will contribute research
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outstanding education are interlinked and equally valued. The University Tutor in Department of Biology will play an important role in the delivery of the Department’s degree programmes and will be appointed
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goals associated with our Strategic Plan. This role will report into the Employee Relations Manager, providing the Human Resources Team with additional professional expertise in the area of Employee
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scholarship and outstanding education are interlinked and equally valued. The University Tutor plays an important role in the delivery of many of the University’s academic programmes and is appointed
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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