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methods for causal inference using large-scale observational healthcare data. The project will address fundamental methodological challenges in estimating causal treatment effects from longitudinal
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results and develop relationships using statistical methods and other analytical approaches such as finite element, and predictive techniques. Application Procedure • A 1-page cover letter, stating
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participate in a research training programme in the department and have the opportunity to join masters level courses (including courses on research methods). Moreover, our PhD students are supported to attend
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translational neuroscience tools/methods (3T, 7T MRI) and research, and have international training and networking opportunities, including labs 3 visits in other world-leading universities (Edinburgh, Oxford
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project For an information package including full details of the post, selection criteria and application process see https://ore.ucc.ie/. The University, at its discretion, may undertake to make
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neuroimaging methods to better detect disrupted function following neonatal brain injury, and identify new more energy efficient learning algorithms that could reduce the economic and environmental cost of AI
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by Industry 5.0 technologies and human–robot collaboration. Key innovations include Digital Product Passports (DPPs) and data-driven tools to improve lifecycle transparency, alongside methods
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and artificial intelligence. An important component of the PhD will be determining which combinations of approaches are scientifically useful, rather than applying AI or other computational techniques
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the following elements: - Abstract (300 words, approx.) - Background context and rationale for the research - Aims, objectives and central research questions - Methodology including details of any specialist
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programme in the department and have the opportunity to join masters level courses (including courses on research methods). Moreover, our PhD students are supported to attend high-quality international