68 machine-learning-"https:"-"https:"-"https:"-"https:"-"RAEGE-Az" positions in Ireland
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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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are seeking an Assistant Librarian, Academic Engagement, Teaching & Learning to identify and respond to university, faculty and departmental needs, and promote and advocate the use of Library resources
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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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. Academic staff engage in a wide range of academic research areas, and research underpins all teaching and learning at MIC. Applications are invited for the following position: Assistant Professor in
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nationally and internationally recognised centre of theological and philosophical learning, scholarship, and research. Founded as the Catholic National Seminary in 1795, it was recognised as a Pontifical
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is available at Cork University Business School (CUBS) to join a COALESCE ... Job Spec More-> Professor / Chair of Machine Learning, School of Computer Science & Information Technology Apply Job ID
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. Academic staff engage in a wide range of academic research areas, and research underpins all teaching and learning at MIC. Applications are invited for the following position: Assistant Professor in Irish
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)/Organisational Behaviour (OB) and have a strong academic record. A track record of appropriate teaching experience, with a dedication to the highest quality of teaching and learning in the area of Human Resource