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, flexibility becomes an essential feature, driven by the development of flexible components and open networks. Development of Digital Twins, capable of building dynamic models from information gathered form live
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response to infectious burdens. The other post will investigate the evolution of pathogens over time, uncovering how they have adapted to changing human hosts and environments. Crucially, these data from
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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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preparedness levels and potential adaptation strategies. The project aims to generate insights that could inform policy development, clinical practice evolution, and advocacy priorities as DMTs move toward
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. To address this, the PhD candidate will develop network models for such trace data with a strong focus on real-world applications. These applications can be developed in collaboration with substantive
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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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Project title: Developing and Evaluating Interpretable Approaches for Human-Centered Machine Learning.Project description: Approaches in interpretable machine learning offer promise in understanding
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aims to assess the feasibility of geothermal energy as a source of district heating for residential developments in Dublin. The project will carry out intensive monitoring of a residential development
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. More specifically, we work to understand the mechanisms of (mal)adaptive plasticity and develop new treatment approaches for different neurological conditions (pain, tinnitus, Parkinson's disease
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Post Summary Project Description PhD applications are invited to develop advanced neuroimaging biomarkers of Alzheimer’s disease in mid-life, asymptomatic individuals. The Problem Dementia is a