15 algorithm-development-"Multiple" "Prof" 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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Post Summary An exciting opportunity to pursue a fully funded PhD studentship within the Host-Pathogen Interactions research group led by Prof Rachel McLoughlin (https://www.tcd.ie/Biochemistry
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July 9th 2025; interview of shortlisted candidate to occur July 17th- 18th. Informal enquiries can be directed to mcelherm@tcd.ie (Dr Matt McElheron; computational biology lead) and nbourke@tcd.ie (Prof
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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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their potential in a range of applications; and develop our understanding of DES-mediated material synthesis. Aspects of this work will be carried out in collaboration with Prof. Chris Batchelor-McAuley. Successful
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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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details of 2 referees (including email addresses), to: Name: Siobhan Wade Email Address: wadesi@tcd.ie Informal enquiries to Prof Ursula Fearon, fearonu@tcd.ie, Molecular Rheumatology, TCD (https
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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