54 data-science-phd Fellowship positions at The University of Queensland in Australia
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Queensland Aphasia Research Centre (QARC) | School of Health and Rehabilitation Sciences Multiple fixed-term positions available from January 2026 – November 2027 At Academic Level B, base salary
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Minimum qualification of a Master’s degree, with a PhD preferred, and demonstrated expertise in coral reef data analysis, field studies, and coral reef simulation modelling. Coding experience in Matlab or R
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School of Biomedical Sciences Full-time, fixed-term position for up to 12 months Base salary will be in the range $82,057 - $109,246 + 17% Superannuation (Academic Level A) Based at our St Lucia
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position. Further information can be found by viewing UQ’s Criteria for Academic Performance . About You Completion of a PhD in a field related to pain science (physiotherapy, psychology, medicine, other
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collaboration with national and international development partners. Collect and analyse data from fieldwork and desktop research Develop and maintain global stakeholder networks in poverty and sustainability
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process. About You Completion or near completion of a PhD in neuroscience, computer science, data science or relevant related field. An emerging profile in research in the discipline area. Demonstrated
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/finish times, and genuine career progression opportunities via the academic promotions process. About You Completion or near completion of a PhD in the area of plant science, ideally with a focus or use of
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research team working at the intersection of nanotechnology and clinical sciences. You will contribute to the development of cutting-edge technologies for precision diagnostics, biosensing, and application
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the academic promotions process. About You Education, training and/or relevant experience equivalent to the completion of a PhD in a relevant field (e.g., natural products chemistry). Strong expertise in organic
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imposed timelines/milestones. PhD (or near completion) in Engineering or Applied Science with strong expertise in CFD. Proficiency with open-source engineering software and numerical methods such as FEM