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office by connecting PhD candidates with external internship opportunities. Your new role The Administrative Support Officer provides administrative assistance to support relevant staff and activities
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informs quality education, and advocates for equity and excellence in midwifery education. We are currently seeking: We seek a Medicare-endorsed midwife with a PhD to fill this role. This role will see you
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employment (0.5 FTE to 1.0 FTE). Be a teaching academic with experience teaching at least two terms in the last two years within higher education in Australia. Have been awarded or submitted a PhD (if a PhD is
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, with their living expenses during their studies. Each stipend has a maximum duration of 3 years. Student type Future Students Faculty Faculty of Business and Law Course type Higher Degree by Research
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research findings in reputable journals and present at conferences. Mentor undergraduate and graduate students in related projects. Qualifications: PhD in Electrical Engineering or a closely related field
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candidate has a PhD degree or submitted the thesis for examination. Demonstrated relevant subject/discipline knowledge and knowledge and experience in relevant research techniques. Demonstrated competency in
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Statement or below) to allow us to assess your suitability for this role. Essential Criteria ALA does not require a PHD qualification. A doctoral qualification in relevant discipline (ALB) Proven high-level
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-career researchers. To be considered for this post, you must hold a PhD in epidemiology, biostatistics, or a related subject, with excellent knowledge of research methods in epidemiology and statistics
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or equivalency. PhD or Doctoral qualification is highly desirable. Demonstrated excellence in teaching and learning, with a reflective and innovative approach. A track record of educational scholarship and success
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the classification level. We are looking for someone with the following key capabilities: A PhD in a relevant discipline such as Applied Statistics, Mathematics, Bioinformatics, and/or Computational Genetics, Data