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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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developing representations, using neuroimaging with fMRI and OPM-MEG, and to model the developmental process using computational models from AI. The project aims to better understand infant cognition, develop
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activities, including the collection, analysis and documentation of qualitative and quantitative data. The role involves preparing research reports, developing data collection tools, communicating project
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and apply a wide range of techniques, including cultivation of microorganisms, the isolating and cultivation of immune cells, and the construction of genetically modified microorganisms. Molecular, cell
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; [email protected] To apply, candidates should submit the following via email to Camilla Devitt, Associate Professor ([email protected]) in a single pdf: 1. A motivation letter clearly indicating motivation
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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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Rapid Chloride Migration (RCM) test using the geochemical modelling software PHREEQC. Chloride-induced corrosion of reinforcing steel is one of the primary causes of deterioration in reinforced concrete
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to apply: Applications for the part-time Scholarships should be submitted via the following link: The following documentation must be attached to the application: • Cover letter and CV • Personal statement
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degree in Chemistry at 1st class hons or 2:1 grade (or equivalent). In particular, candidates with experience in solid-state, materials, or inorganic synthesis are strongly encouraged to apply
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. For informal enquiries please feel free to contact. Eoin Hinchy at [email protected] or Eoin O’Connell [email protected] Project description and role: The project is structured around five core pillars