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hands-on experience in video diffusion models and generative AI. The role will focus on core research and development of advanced of multimodal video generation systems. The appointee will work closely
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to initiatives that: Embed a culture of inclusion and belonging. Support career development frameworks. Implement the Future of Work model. Drive operational excellence. You will be part of a dynamic collaborative
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. The successful candidate will work on JWST observations of the supernova SN 1987A, with a particular focus on dust modelling. The group actively collaborates with researchers in Europe and the United States and
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BACtheWINNER team. The main aim of this research programme is to develop bacteriocins as novel antimicrobials/therapeutics by solving the current challenges associated with their implementation, such as low
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funded researchers in three ways. A comprehensive entrepreneurship training programme will provide pre-Hub and through-Hub supports for ICT researchers. Technical and project management development
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Application Deadline 5 Nov 2025 - 17:00 (Europe/London) Type of Contract Temporary Job Status Full-time Hours Per Week 39 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Maynooth University, National University of Ireland Maynooth; | Maynooth, Leinster | Ireland | about 9 hours ago
programme of the Department and undertake teaching duties on the Department’s undergraduate and postgraduate programmes as well as the supervision of Masters and PhD students, particularly in areas related
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job Title: Senior Postdoctoral
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Research Associate/Postdoc Researcher:HPC-AI Performance Engineer-ICHEC, University of Galway 011396
Applications are invited from suitably qualified candidates for a full-time, specific purpose position as a HPC-AI Performance Engineer with the Irish Centre for High-End Computing (ICHEC
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to bring together and deploy cutting-edge approaches to small-area population estimation and modelling of population movements in the context of examining population exposure to extreme sea levels in low-elevation