-
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
-
recovered, transcribed, and edited within the scope 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
-
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
-
. 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
-
and outstanding education are interlinked and equally valued. The International Research on Energy Systems Integration, Education & Environment for Sustainability and Innovation Centre (IRESI), is a
-
& Environment for Sustainability and Innovation Centre (IRESI), is a research centre housed in the School of Business. IRESI's research focuses on propelling sustainable energy systems into the future by helping
-
and outstanding education are interlinked and equally valued. The International Research on Energy Systems Intergration, Education & Environment for Sustainability and Innovation Centre (IRESI), is a
-
& Environment for Sustainability and Innovation Centre (IRESI), is a research centre housed in the School of Business. IRESI's research focuses on propelling sustainable energy systems into the future by helping