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energy through more efficient design of piled foundations. The PhD student will focus on grain scale mechanics experiments and numerical modelling using the Discrete Element Method (DEM) with the aim
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will contribute to our ability to understand and predict this critical component of ecosystem function. You will work within group spanning ecological science, engineering, and computer science methods
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outcomes in this age group. Activation of type I interferon (IFN-I) responses are a fundamental component of innate anti-viral immunity, key for activation of early, direct anti-viral protection and later
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longitudinal methods and cross-national data analysis to investigate the economic drivers and consequences of grey divorce. The project will explore how individual- and couple-level economic factors—such as
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critical component analysis, and (iii) development of Automation of ML model and data selection. The applicants should have knowledge of machine learning and optical networks and willing to engage in testbed
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. The research aims to replace traditional photoredox catalysts with electrochemical radical initiation, developing cleaner and scalable methods for the synthesis of high-value fine chemicals. These studentships
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the predictions of opaque models that are widely deployed in high-stakes decision making scenarios. Of particular interest to this project are example-based explanation methods that use individual data points
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nanomaterials. This will be achieved by developing and codifying DES-based routes to key classes of environmentally relevant nanomaterials, including (photo)electrocatalytic metal oxides; phosphate-based
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capacity to funding mechanisms and equity considerations. With Ireland's healthcare system as the primary context, the successful candidate will employ mixed research methods to investigate current
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vitro methods on human biological samples to understand early immune and stromal cell dysregulation that are involved in disease onset, progression, and response to treatment in individuals with