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collaboration with Dr Whelan and the PhD students, machine learning tools for the handling of the Mauve and MUSE datasets. They will also be expected to lead the research into innovative ways in which the machine
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. The successful candidate will have the responsibility of developing, in collaboration with Dr Whelan and the PhD students, machine learning tools for the handling of the Mauve and MUSE datasets. They will also be
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the support of and under the supervision of a Principal Investigator. To become familiar with the publication process. To acquire generic and transferable skills (including project management, business skills
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criteria: 1. A PhD in Engineering or similar discipline 2. Strong engineering and analytical skills 3. Computer modelling skills (i.e. MATLAB or Python) 4. A comprehensive
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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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of Technology Sydney, Australia, and the Irish Centre for High End Computing (ICHEC). The following are the primary desirable candidate criteria: 1. A PhD in Engineering or similar discipline 2
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project coordination and industrial engagement. The Intelligent Efficiency Research Group (IERG) The Intelligent Efficiency Research Group (IERG) at University College Cork is an award-winning team of PhD
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-winning team of PhD and master’s researchers advancing the next generation of energy efficiency and intelligent systems for industrial applications. Based within the School of Engineering and Architecture
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Research Group (IERG) The Intelligent Efficiency Research Group (IERG) at University College Cork is an award-winning team of PhD and master’s researchers advancing the next generation of energy efficiency