47 parallel-and-distributed-computing "Multiple" positions at MAYNOOTH UNIVERSITY in Ireland
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(RDO) is seeking to appoint a Programme Officer to lead the development of an EU post award management strategy and to oversee the management of post award programmes for large EU multi-partner awards
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cleaner, greener, and more sustainable energy landscape. We are seeking a highly experienced Programme Manager to provide strategic leadership for the RENEW project, a Research Ireland National Challenge
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cleaner, greener, and more sustainable energy landscape. We are seeking a highly experienced and dynamic Programme Manager to provide strategic leadership for the RENEW project, a Research Ireland National
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Deadline 26 Apr 2026 - 00:00 (UTC) Country Ireland Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
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, research grants, research impact and multiple awards by students (e.g. Dyson Innovation awards) and staff for their work. This is one of three new Health and Wellbeing Professorships in the Faculty of Social
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investment in the Society & Social Policy research beacon, with multiple Professor B appointments being made simultaneously to build critical mass, collaboration, and impact across disciplines. The person
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Europe This role forms part of a coordinated Faculty-wide investment in the Society & Public Policy research beacon, with multiple Professor B appointments being made simultaneously to build critical mass
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collaborative approach to tackling grand challenges. Our Beacons encompass multiple Research Institutes, Centres, and projects pertaining to particular themes, including health and well-being. Each Beacon
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. The successful candidate will play a key role in the design, development, and implementation of quantitative models and analytical frameworks to assess demand-side flexibility, distributed energy resources, and
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the system's computer vision pipeline, including visual odometry and plant-species-level detection capabilities. Their work involves enhancing the existing deep learning models to ensure high detection accuracy