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Trinity Infrastructure (DTI) programme, is a multi-annual, multi-million Euro project to replace the university’s Wi-Fi network with a new, next generation, Wi-Fi network. The current university networks
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the Head of Discipline at St. James’s Hospital / Tallaght University Hospital and Coombe Hospital. The main purpose of the post is to support the delivery of the undergraduate teaching programme in
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of the undergraduate teaching programme in medicine and the successful candidate will be expected to spend approximately one-half of their working week undertaking teaching and related programme activities
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to contribute to data processing and management, with additional responsibilities in final phases of participant recruitment and data collection in the context of a funded research program, R2D2-MH (RaDiaNT
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chairing of committees, project management, policy and programme development and academic compliance. Demonstrable experience in actively promoting equality, diversity and inclusion. An understanding
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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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optical, wireless and cloud technologies. The position will be based in the School of Computer Science and Statistics, with Prof. Ruffini research team and affiliated with the ADAP research centre on AI
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Maynooth University is committed to a strategy in which the primary University goals of excellent research and scholarship and outstanding education are interlinked and equally valued. The International Research on Energy Systems Intergration, Education & Environment for Sustainability and...
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Department: Computer Science Vacancy ID: 038983 Closing Date: 21-Dec-2025 Maynooth University is committed to a strategy in which the primary University goals of excellent research and scholarship
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at scale. We are eager to receive proposals to establish R&D Laboratories in areas such as, among others, Reasoning & Planning, Edge Intelligence, Advanced Computer Vision, Synthetic Data, Human Machine