26 machine-learning-"https:"-"https:"-"https:"-"UCL" positions at Trinity College Dublin
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Learning & Organisational Development plays a central role in delivering people-development and organisational-development initiatives across Trinity College Dublin. The post holder provides senior
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, making use of intelligent AI-driven control planes. The applicants should have a solid theoretical background on machine learning, optical networks and fibre sensing and be willing to engage in testbed
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causal machine learning, transport behaviour analysis, and residential energy demand modelling to support sustainable urban and energy policy. The researcher will contribute to the design, implementation
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combining causal machine learning, transport behaviour analysis, and residential energy demand modelling to support sustainable urban and energy policy. The researcher will contribute to the design
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econometric and machine learning frameworks to analyse the causal relationships between transport behaviour, residential energy consumption, and environmental outcomes in urban systems. The successful candidate
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position is available to work in the area of Digital Twins for optical networks, making use of intelligent AI-driven control planes. The applicants should have a solid theoretical background on machine
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computer interaction in this context). This work will contribute to the empirical co‑design and testing of principles guiding the development and deployment of AI systems for assisting judicial decision
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Senior Academic Developer will play a strategic leadership role in advancing excellence and innovation in teaching, learning and assessment across Trinity. Working collaboratively with academic and
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, the University of Dublin, invites applications for a specific purpose teaching Fellow post in the School of Mathematics. The successful candidate will be able to teach to our undergraduate and postgraduate
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required to acquire high-quality health data, ensuring system reliability, and advising on improvements through the integration of novel health technologies and measurement approaches for future waves of