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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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Frontiers of the Future grant. CARINA stands for Combining Machine Learning with Forefront Astronomical Instrumentation to Probe Intermediate Mass Star Formation. CARINA is focussed on developing case
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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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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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English language, and be highly motivated to work within a multidisciplinary team. Salary is subject to Irish Public Sector guidelines. Essential Qualifications/Experience: PhD and publication record in a relevant
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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
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. The Intelligent Efficiency 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
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Principal Investigator. To become familiar with the publication process. To acquire generic and transferable skills (including project management, business skills and postgraduate mentoring/supervision
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researchers and PhD students, and will have opportunities to strengthen your track record in scholarly dissemination, proposal development, and research mentorship in a supportive, research-intensive