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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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such as cell isolation methods using microfluidics or microwell devices, preparation of sequencing libraries from ultra-low quantities of nucleic acids have enabled the characterisation of DNA, RNA and
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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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of the respective movement that includes a transnational component. While European case studies will be considered, preference will be given to cases of non-European fascist movements. Working knowledge
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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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qualitative, quantitative, and systematic review methods. Title: Beyond Mood: Advancing our Understanding of Cognition and Everyday Functioning in Depression Supervisors: Dr Elayne Ahern (Elayne.Ahern@ul.ie
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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