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in the school. Applicants should hold a PhD or equivalent qualification in Statistics or in a closely related Data Science area such as Biostatistics or Statistical/Machine Learning, and have a track
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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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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 affiliating to the Research Institutes
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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 affiliating
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completion of a PhD or for someone entering a new area for the first time. If you have already completed your PD1 stage in UCD or will soon complete a PD1, or you are an external applicant whose total
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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 appointees will be full faculty members, and
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teaching programme of 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
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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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will be qualified to a post-graduate level and must have completed a PhD/Doctorate in Intellectual Disability Nursing or a relevant health-related field. Applicants must be registered or be eligible
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postgraduate programmes as well as the supervision of Master’s and PhD students. The appointees will be full faculty members, and as such will be expected to innovate in both research and teaching, to assist in