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statistical software Proven excellence in scientific writing Achievement of the expected progression within Post Doc and Senior Post Doc is transferable between the Irish HEI’s. This can be reflected in
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) • Strong statistical skills and experience with large-scale epidemiological datasets • Demonstrable proficiency in R/RStudio or equivalent statistical software • Proven excellence in scientific
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methods, leveraging digital twins, data analytics, and reliability engineering. In parallel, the role includes project oversight responsibilities, supporting effective coordination of consortium activities
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and master’s researchers advancing the next generation of energy efficiency and intelligent systems for industrial applications. Based within the School of Engineering and Architecture, IERG develops
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valued: • Qualitative and/or mixed-methods research (e.g., interviews, case studies, Delphi studies, thematic analysis), with proficiency in NVivo or similar qualitative data analysis software
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, thematic analysis), with proficiency in NVivo or similar qualitative data analysis software. Demonstrated skills in simulation modelling and in designing and developing interactive dashboards to support
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. The successful candidate will lead the technical development and validation of equipment-level FDD and preventative maintenance methods, leveraging digital twins, data analytics, and reliability engineering. In
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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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vaccine loaded microneedle process for technology transfer to GMP production. They will also be involved in immunogenicity testing of these vaccine dosage forms in vivo in pre-clinical models. The ideal
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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