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STEER (Science & Technology Entrepreneurship Education & Research) Advancing Science and Technology Entrepreneurship Education and Research through the Development of Pedagogies and Student
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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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; Maynooth University, National University of Ireland Maynooth | Maynooth, Leinster | Ireland | about 20 hours ago
Working as PhD students within the project framework and under the supervision of the project PI, Prof. Raul Cârstocea, the successful candidate(s) will develop an original research project that aligns with
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should describe their own suitability for one of the advertised projects (50% weighted) and how they propose to develop the project (50% weighted). Queries about the process can be made to Dr Jenny Roth
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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