13 algorithm-development-"Multiple" PhD positions at Trinity College Dublin in Ireland
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networks, making use of intelligent AI-driven control planes. The work will involve: i) (i) development of network probing algorithms for OSNR/GSNR measurement automation; (ii) development of adaptive ML and
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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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scientists from, e.g., Sociology, Political Science, or Economics. The PhD candidate will also develop state-of-the-art optimisation algorithms specifically tailored to the proposed large-scale network models
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landscape of Alzheimer's Disease-Modifying Therapies (DMTs). The research will examine multiple dimensions of system readiness through an interdisciplinary lens - from diagnostic pathways and workforce
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from multiple high-income countries, including the UK (UKHLS), Germany (SOEP), Australia (HILDA), and the US (PSID), alongside ageing studies such as SHARE, ELSA, and TILDA. Where feasible
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embedded in the cross-disciplinary TRDA project Entangled Lewy. The project brings together Health Sciences, Engineering, Computer Science, Health Economics, Arts, Humanities and Social Sciences to develop
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annually, necessitating urgent development of novel therapeutic interventions. Harnessing protective immune responses is an attractive approach but advancing this requires enhanced mechanistic understanding
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months). The successful candidate will conduct an innovative project developing an ethical-legal framework that transcends traditional definitions of ‘harm’ in forced displacement contexts by empowering
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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