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is seeking a PhD student to join an ongoing Royal Society–Research Ireland University Research Fellowship project focused on Machine Learning for the Design of Additively Manufactured Two-Phase Heat
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Machine Learning within the School of Medicine at the University of Limerick. This is a methodologically focused PhD for candidates with strong quantitative backgrounds who wish to develop novel statistical
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this pathogen to cause infections, survive attacks by innate immune cells (macrophages and neutrophils), and develop resistance to antifungal agents (see selected publications below). The PhD student will learn
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neuroimaging methods to better detect disrupted function following neonatal brain injury, and identify new more energy efficient learning algorithms that could reduce the economic and environmental cost of AI
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, Atmospheric Science, LSTMs, VAEs, PyTorch, TensorFlow, NumPy, pandas, scikit-learn, spatio-temporal datasets Additional Information Eligibility criteria Mandatory: *A PhD in Data Science, Artificial
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postgraduate planning programmes, including PhD supervision and will develop an internationally renowned research profile through high-impact publications and major external grant acquisition. Note for
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Maynooth University, National University of Ireland Maynooth; | Maynooth, Leinster | Ireland | 19 days ago
the potential to do so in the future; Contribution to at least one of the five Research Beacons of Maynooth University; An ability to teach Macroeconomics to Master’s and PhD level; An ability to design, deliver
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PhD Positions Application Deadline 25 Sep 2026 - 13:00 (Europe/Dublin) Country Ireland Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Dec 2026 Is the job funded
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to Master’s level and be registered for or have completed a PhD / Doctorate. Applicants are also expected to have considerable public health nursing/ community health nursing experience. The School of Nursing
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committed to social good. Our motto Eagna chun Gnímh translates as Wisdom for Action reflecting our mission to contribute to the discovery of new knowledge for a better world. To learn more about us Join the