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Field
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. About You Applicants should possess a PhD in a relevant discipline, such as Indigenous Health, Public Health, or related health field. You will also bring an understanding of culturally safe communication
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Professor Diane Jarvis https://portfolio.jcu.edu.au/Researchers/diane.jarvis1. What you can bring to the role A PhD qualification or equivalent in a relevant social science, climate change, environmental
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the safety of vulnerable road users. What you need to succeed Completion of a PhD in a relevant discipline area (e.g. road safety, occupational health and safety, psychology, public health) in any of the key
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the academic promotions process. About You A PhD (awarded or near completion) in a relevant discipline (e.g. psychology, business). Demonstrated experience in qualitative and/or quantitative research methods
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Integrated Planning & Learning and Reinforcement Learning in non-deterministic and partially-observed scenarios. The methods will be evaluated on physical robots. The ideal candidate would have: A PhD (or
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Fellow will have the opportunity to lead statistical analyses of large-scale clinical registry and administrative datasets. Some key skills required: A PhD in health data science, and/or relevant work
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higher education programs across all STEM disciplines at the Bachelor, Master and PhD levels, and ensure our students experience an education that is work-aligned and life-changing. The College is renowned
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. We offer higher education programs across all STEM disciplines at the Bachelor, Master and PhD levels, and ensure our students experience an education that is work-aligned and life-changing
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behaviour in support of a positive traffic safety culture; (ii) improving the safety of young drivers; and (iii) improving the safety of vulnerable road users. What you need to succeed Completion of a PhD in
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flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About You Completion or near completion of a PhD in plant biology, plant pathology, microbiology