58 parallel-and-distributed-computing-phd Fellowship positions at The University of Queensland
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via the academic promotions process. About You Completion or near completion of a PhD in GIS, urban studies, urban data analytics, human geography, spatial epidemiology, or a related field. Experience
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coherent research program and apply best-practice methodologies. Supervision and Researcher Development: Support and supervise Honours and Higher Degree by Research students, foster researcher development
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, and a culture that celebrates bold ideas. About You We’re seeking a visionary researcher with: Completion or near completion of a PhD in a relevant discipline. Specialist registration in Australia with
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techniques. Citizenship and Service: Begin to develop partnerships, engage in internal service roles and committees, provide support to colleagues, and uphold university values. About You Completion of a PhD
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values your contribution and supports your growth. At UQ, we’re creating change together - through research, teaching, and professional excellence. About You A PhD in epidemiology, biostatistics, health
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the academic promotions process. About You Qualifications and Field of Expertise: Completion of a PhD in Systems and Synthetic Biology, Molecular Engineering, Bioengineering, Chemical Engineering, or a closely
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internal and external service and engagement activities. About You Successful applicants will possess: Completion of a PhD in health or ageing, and qualifications in speech pathology, gerontology, or a
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genuine career progression opportunities via the academic promotions process. About You Completion or near completion of a PhD with a focus on soil science, plant nutrition, agronomy, or related area
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-only vacancies, and genuine career progression opportunities via the academic promotions process. About You PhD in Atmospheric Science, Meteorology, Physical Geography, Physics, Mathematics or related
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You Completion or near completion of a PhD in psychology, epidemiology or public health Demonstrated experience analysing longitudinal quantitative data. Some experience with analysing qualitative data