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and/or experience in two or more of the following areas: o Automation and robotics o Electronics or PCB design, testing, or manufacturing processes o Programming/software development skills o
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within CAPPA, in the area of integrated lasers and optical coherence tomography (OCT). The research will concern the development and application of new techniques for OCT using high-speed, compact akinetic
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catalysts used in chemical processes. The successful candidate will combine state-of-the-art quantum chemical modelling alongside machine learning techniques and contribute to the development of predictive
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for their future career. A Personal Career Development Plan for the student will be prepared. The PhD candidate will: Design and develop transfer-printable tunable narrow-linewidth lasers at 760 nm and
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component development and testing towards high-value products primarily for the construction sector, but with the possibility of other sectoral uses. Activities: Some of the core PhD research activities will
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understanding of chloride transport mechanisms and establish the suitability of thermodynamic modelling as a tool for durability assessment. Ultimately, the study will contribute to the development of more
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applying existing methods Research Areas The project may include methodological development in: Target trial emulation Dynamic treatment regimes Semiparametric and nonparametric estimation Doubly robust and
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Location of PhD: Teagasc, Ashtown Food Research Centre, Dublin, Ireland University: University of Galway, Ireland Proposed start date: October 2026 or soon thereafter Funded PhD Project: EU, UK or International Students Project Title: Evaluating technology adoption for a competitive, sustainable...
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knowledge and impact. The Teagasc Walsh Scholars Programme provides a structured four-year training and development framework designed to support both academic excellence and long-term career readiness
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will undertake doctoral research focused on activity-based travel behaviour, household energy use, and sustainability policy, contributing to the development of causal inference and agent-based modelling