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with Master degrees with technical publications and research experiences in structural engineering, structural dynamics and protective structures are preferred. Application process To apply, please send
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the development of new algorithms for processing, analysis and inversion of active and passive seismic data and the application of these algorithms to field data. Student type Future Students Faculties and centres
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experience and publications in materials science, materials engineering,chemical engineering, electrochemistry, inorganic chemistry, etc., are encouraged to apply. Application process Future student, please
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engineering, electrochemistry, inorganic chemistry, environmental science, etc., are encouraged to apply. Application process Future student, please contact us via the EOI form . Enrolment Requirements
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PhD Scholarship in Digital Mapping of Homemade & DIY Cultural Economies in First Nations Communities
for research that benefits Indigenous communities – in a relevant disciplinary area, including Human-Computer Interaction, Media Studies, Digital Cultures, Digital Sociology and Digital Humanities
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described in the UON English Language Policy. The applicant will need to meet the minimum eligibility criteria for admission. Application Procedure Interested applicants should send an email expressing
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and Long COVID. Here we want to identify the mechanisms of cellular toxicity and the role inflammation plays in this process. We want to identify how the proteins accumulate and how they are cleared
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Behaviour; Culture, Psychology and Law; Psychology and Legal Processes; and Rehabilitation, Reintegration and Offender Management. About you To be successful in the role, you will have: Bachelor degree
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of the Foundation ; and, d) agree to reporting their academic progress to the Forrest Research Foundation Director each year. Application process Applications close on 19 October 2025. Applications must be submitted
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advances in process-based crop models such as APSIM, their integration often remains limited. This project proposes to get more out of on-farm data streams and process models through their more formal