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Maynooth University, National University of Ireland Maynooth; | Maynooth, Leinster | Ireland | about 1 month ago
record in teaching and research in early childhood education; Experience of and a demonstrated commitment to undergraduate and postgraduate teaching; programme development and academic innovation
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) Country Ireland Application Deadline 3 Oct 2025 - 00:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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communication and interpersonal skills, computer literacy, organization and an awareness of time management. EXPERIENCE REQUIRED: • Qualified Nurse (Mandatory RGN, BSc,). • Oncology background
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of Computer Science and Information Technology, to work on developing interactive software to create schedules. Prior experience in constraint programming, schedule generation and software development are essential
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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 teaching duties
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to make a strong contribution to the teaching programme of the French and Francophone studies section and the School and undertake teaching duties on undergraduate and postgraduate programmes as
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and management of the Maynooth Access Programme, including outreach and community engagement and mainstream and specialist transition and post entry supports to support student success. These include
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Clinical Studies across all years of the MVB degree programme. They will contribute to the delivery of referral herd health and individual animal services. They will actively explore opportunities
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. The person appointed will have a proven record of teaching, research and publication, appropriate to career stage. They will be expected to make a strong contribution to the teaching programme of
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should have a background in Finance, Financial Economics, FinTech, Sustainable Finance, Computer Science or related disciplines. This role places a strong emphasis on machine learning applications in asset