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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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PhD studentship on developing a living lab digital twin to integrate catchment models and climate adaptation measures for catchment management in Ireland. This PhD is part of a larger interdisciplinary
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developing representations, using neuroimaging with fMRI and OPM-MEG, and to model the developmental process using computational models from AI. The project aims to better understand infant cognition, develop
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education, research, and innovation, which has been inspiring generations of thinkers for over 400 years. Thrive: Trinity College Dublin's Strategic Plan 2025 - 2030 Developing a new generation of dynamic
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impact The applicant will work with a potential supervisor from TCPHI to develop a robust Research Proposal to be submitted as part of the application process. Trinity College Dublin will charge an
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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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of transfer-printable tunable narrow-linewidth laser sources for interferometric near-infrared spectroscopy (iNIRS). This research sits within CARE 2, which aims to develop a wearable biomarker sensing
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infrastructure. Accurately predicting chloride transport and binding within concrete is therefore essential for improving service-life assessment and durability design. The research aims to develop a robust
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within CAPPA, in the area of integrated lasers and optical coherence tomography (OCT). The research will concern the development and application of new techniques for OCT using high-speed, compact akinetic
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-time power amplifier linearization using Field Programmable Gate Array (FPGA) platforms. The research will focus on the development of intelligent Digital Predistortion (DPD) algorithms capable