71 machine-learning-"https:"-"https:"-"https:"-"Linnaeus-University" 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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developments and teaching practices. The priority subject areas to be covered may include: Computer Aided Design Engineering Drawing Workshop Practice CAM/CNC Electrical Science Communications Engineering
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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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)/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
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at Assistant Lecturer level. Hours 18 hours Description of Post The role of an Assistant Lecturer in Dietetics involves delivering high quality teaching and learning experiences to undergraduate and potentially
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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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innovative teaching and learning practices. This is a research active school, evidenced by the success of the Skin Wounds, and Trauma (SWaT) Research Centre at RCSI. This centre specialises in cutting-edge
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the highest quality of teaching and learning in the area of Strategy or a closely related field. A well-defined research plan with evidence of published work and/or strong potential for publishing in