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. Strong problem-solving and analytical skills. Ability to work collaboratively in multidisciplinary teams. Experience in report writing, documentation, and presentation of scientific results. Project
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for industrial systems. The role is part of the EU-funded FLARE project, which focuses on improving industrial resilience, flexibility, and sustainability through digitalisation and advanced analytics
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data-driven net zero carbon energy system. The appointee will support the development of data architectures, analytics tools, and interoperability frameworks aimed at integrating building energy data
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and intelligent systems for industrial applications. Based within the School of Engineering and Architecture, IERG develops and applies cutting-edge analytics, modelling, and decision-support
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advanced data analytical and modelling techniques, Zero Hidden Hunger EU will deliver credible evidence enabling policymakers and food system actors to deliver food-focused strategies to eradicate
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include an analytical writing exercise in English. Knowledge of Italian, Korean, or Swedish is an advantage but not required. The vacancies will be filled on a rolling basis. Appointments will be made
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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