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below or contact Dr. Erica Kuligowski (Principal Research Fellow (ARC future fellowship) via email erica.kuligowski@rmit.edu.au . Please do not send your application to this contact. Position Description
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three-year postdoctoral Fellowships in 2026 to outstanding researchers from around the world to conduct paradigm-shifting research based at any of Western Australia’s five universities. These generous
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The Forrest Research Foundation is offering up to five prestigious three-year postdoctoral Fellowships in 2026 to outstanding researchers from around the world to conduct paradigm-shifting research based at any
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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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of the School community. Desired Characteristics: Ability to supervise and motivate undergraduate and post graduate students including encouraging intellectual development and career aspirations. Willingness
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
experiences, conducting high-impact research, seeking meaningful engagement, and becoming a resilient organisation post COVID-19. We welcome and openly acknowledge differences in expertise, research / education
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ToF-SIMS operation and surface analysis techniques. Strong publication record and experience with grant applications. Experience in the supervision and completion of training of post-graduate students
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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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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