18 digital-image-processing-phd-scholarship Postdoctoral positions at MAYNOOTH UNIVERSITY
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applications for a 12-month position as either a Research Assistant (Level 2) or Postdoctoral Researcher (Level 1) (depending on qualifications and experience), with a speciality in statistical image processing
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scholarship and outstanding education are interlinked and equally valued. We are seeking an experienced postdoctoral researcher for the research project DiAgnostic – Tracing Diatopic Variation in a Corpus of
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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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of excellent research and scholarship and outstanding education are interlinked and equally valued. The Strategic Plan 2023 -2028 states that we will consolidate and increase our existing reputation and
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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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and scholarship and outstanding education are interlinked and equally valued. We are seeking a postdoctoral researcher to work on the ‘Data Stories: Telling Stories About and With Planning and Property
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Department: Chemistry Vacancy ID: 039723 Closing Date: 22-Feb-2026 The Role Maynooth University is committed to a strategy in which the primary University goals of excellent research and scholarship
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Department: School of Business Vacancy ID: 039923 Closing Date: 22-Feb-2026 Maynooth University is committed to a strategy in which the primary University goals of excellent research and scholarship
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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