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postgraduate programmes as well as the supervision of Masters and PhD students. The appointee will be expected to build a strong research profile, that supports the University’s research strategy including
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teaching programme of the Department and undertake teaching duties on the Department’s undergraduate programmes, future postgraduate programmes, as well as the supervision of Master’s and PhD students
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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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postgraduate programmes as well as the supervision of Master’s and PhD students. The appointee will be expected to build a strong research profile, that supports the University’s research strategy including
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of this project. The candidate’s background can be either in in traditional music analysis (with a PhD in musicology, music analysis or music theory) and/or in computational musicology, digital humanities
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in computational musicology, digital humanities, computer science, artificial intelligence, or mathematics/statistics, with a PhD in one of these fields or a closely related field, and interested in
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the Department and undertake teaching duties on the Department’s undergraduate and postgraduate programmes as well as the supervision of Master’s and PhD students. The appointee will be expected to build a strong
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teaching duties on the Department’s undergraduate and postgraduate programmes as well as the supervision of Master’s and PhD students. The appointee will be expected to build a strong research profile, that
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and PhD students. The appointee will be expected to build a strong research profile, that supports the University’s research strategy including affiliating to the Research Institutes, where appropriate