41 high-performance-computing-"https:"-"CIPMM---Systemic-Neurophysiology" "https:" "https:" positions in Ireland
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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 Join Our Team – Research Support
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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 Are you a qualified nurse, looking for
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from a research perspective, ensuring high-quality data collection, rigorous analysis, and evidence-based assessment of energy savings, user behaviour, and system performance. Working closely with
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Applications are invited for the position of Senior
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Professor of Power Electronics and Integrated Magnetics for Future High Performance Computing and AI
Professorship of Power Electronics and Integrated Magnetics for Future High Performance Computing and AI in the School of Engineering, in collaboration with the Tyndall National Institute. The appointment may be
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collaboration, advanced training in computational and experimental materials science, and access to national and international high-performance computing and research infrastructure. PhD researchers will be
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. The appointee will work on a project focused on next-generation communication and sensing technologies for enhancing safety and performance in intelligent networked systems. The appointee is expected to make
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the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We invite applications for TWO fully funded PhD positions
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. The successful candidate will deliver high-quality teaching at both undergraduate and postgraduate levels, supervise and mentor students, and contribute to an engaging, supportive, and intellectually stimulating
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units), while addressing challenges such as network heterogeneity, limited edge resources, and security vulnerabilities. The outcome will be a scalable, privacy-preserving, and high-performance learning