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research partners Proficiency in DAMASK, AMITEX, Abaqus & MOOSE Experience with MTEX & DREAM3D (advantageous) Application of machine learning (e.g. Gaussian Process) for surrogate modelling & uncertainty
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Higher Degree by Research candidates, while fostering researcher development. Citizenship and Service: Contribute to academic service and engagement by supporting internal committees and processes
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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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flexible start/finish times, and genuine career progression opportunities via the academic promotions process. Questions? For more information about this opportunity, please contact Professor Paul Hodges
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Australian National University | Canberra, Australian Capital Territory | Australia | about 11 hours ago
information about staff equity at ANU, click 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
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including hybrid on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About You A PhD in epidemiology or a related discipline
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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 largest computer vision and machine learning research group in Australia with over 180 members including academics, research staff and students. The AIML works on a mixture of fundamental and
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genuine career progression opportunities via the academic promotions process. About You Completion or near completion of a PhD. An emerging profile in research in implementation science or brain injury
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actions working on causal AI for a changing world. The AIML at the University of Adelaide is the largest computer vision and machine learning research group in Australia with over 180 members including