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(AD), brewing, distilling and dairy processing, are operated sub-optimally and as such are experiencing loses in productivity, yields and profits. These loses could be alleviated if key analytes
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and applies cutting-edge analytics, modelling, and decision-support methodologies that improve how energy and resources are managed in complex industrial systems. The group’s research spans four core
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-doctoral Research Fellow Level 2 to join the Recommender Systems: Unified Data Representations project in the UCD School of Computer Science, working within the Insight Centre for Data Analytics
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for Data Analytics. The successful candidate will contribute to a collaborative research programme with an industry partner, focusing on modern, scalable recommender systems, including behavioural modelling
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international and industry partners. A collaborative, analytical and methodological mindset is therefore essential. UCC is an accredited research organisation and as such can form hosting agreements with third
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and safety protocols, including working on research vessels. Strong problem-solving and analytical skills. Ability to work collaboratively in multidisciplinary teams. Experience in report writing
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analytes that indicate bioprocess performance, could be quantified, automatically, accurately, cost effectively and in real time. This Enterprise Ireland Commercialisation fund project titled
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educational attainment. The ideal candidate will have a PhD in environmental media studies or cognate discipline. They will have strong qualitative analytical skills and be equipped to analyse how media shapes
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cleaner, greener, and more sustainable energy landscape. We are seeking a highly motivated and analytically driven Postdoctoral Researcher in Energy Savings to play a role in the technical and research
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that this technology can be leveraged worldwide. This ambitious project aligns to the UCC Futures thematic areas of Future Medicines and AI & Data Analytics. The successful candidate will gain experience developing