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Status: Open Applications open: 23/06/2025 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information This PhD scholarship supports a
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or psychology with strong statistical training. You can check your eligibility with the PhD readiness tool . For full information on eligibility and English language requirements, please visit the Monash Business
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quantitative disciplines such as data science, mathematical statistics, actuarial science or public health or psychology with strong statistical training. You can check your eligibility with the PhD readiness
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of continuing care and conduct clinical/research programs as required coordinating the collection of data, including assisting other research staff with data entry and analysis assisting in presentations
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Doctor of Philosophy (PhD) graduate researchers, in which the primary data for the PhD thesis can be collected only in a field location (for example, a fundable project may require access to particular
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coordinating the collection of data, including assisting other research staff with data entry and analysis assisting in presentations to clinical staff and other services to promote and provide information about
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coordinating the collection of data, including assisting other research staff with data entry and analysis assisting in presentations to clinical staff and other services to promote and provide information about
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groundwater modelling, adaptive management, quantification of submarine groundwater discharge, and the analysis of nutrient transport processes. The PhD projects provide opportunities to engage in combinations
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Status: Open Applications open: 21/01/2025 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information This PhD scholarship is funded
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degree, or High Second-Class Masters degree or equivalent in the health-related field. Strong quantitative research skills. An understanding of quantitative research methodology and data analysis. Evidence