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leave loading, flexible working arrangements including hybrid on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About
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in advanced signal processing techniques and good understanding of emerging machine learning methodologies used in NDE. You will work in close collaboration with project partners at the University
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the academic promotions process. Questions? For more information about this opportunity, please contact Dr. David Kainer, d.kainer@uq.edu.au. For application inquiries, please reach out to the Talent Acquisition
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on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About You Completion of a PhD in Education. A focus on indigenous
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-quality research publications in econometrics or related fields. You will possess the ability to solve complex statistical problems, show advanced computer literacy with proficiency in relevant software
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Demonstrated experience preparing ethics submissions, peer-reviewed publications, and other research outputs. Experience and understanding of both qualitative and quantitative research processes. Excellent
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 6 days ago
here . For enquiries about the application process, or if you require reasonable adjustment to apply for this role, please contact the hiring manager on the above listed details. Application information
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to people of all backgrounds and identities. For more information about staff equity at ANU, click here . For enquiries about the application process, or if you require reasonable adjustment to apply
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loading, flexible working arrangements including hybrid on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About You
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the academic promotions process. About You Our ideal candidate will have a passion for and demonstrated ability to solve highly complex problems with a high degree of scientific rigour. The candidate will be