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methods for monopiles and validating models through centrifuge testing. Contribute to research dissemination through publications, conferences, and supervision of students. About you PhD or equivalent
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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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
members and external stakeholders from industry and government. The Person We are looking for a PhD qualified researcher with experience in Plant Synthetic Biology. We are looking for someone who likes
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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 PhD in the field of ultrasonic non-destructive evaluation
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Completion or near completion of a PhD in Engineering (mechanical, aerospace, civil, petroleum) or Science (applied physics, applied mathematics) with a strong background in CFD and the finite element method
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imposed timelines/milestones. PhD (or near completion) in Engineering or Applied Science with strong expertise in CFD. Proficiency with open-source engineering software and numerical methods such as FEM
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provided throughout the recruitment process. To be successful you will need Postgraduate qualification relevant to research (Level A); PhD preferred (Level B) Experience implementing data collection and
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apply for research funding Communicate research findings in scientific journals and at conferences About You You will have completed a PhD in genome engineering, synthetic biology, or a closely related
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- delivering a broad range of programs in Business, ranging from Certificates up to PHD levels. Many programs articulate between Vocational Education and Higher Education, creating pathways for further study
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PhD or substantial progress toward a PhD in epidemiology, biostatistics, or a related discipline. Experience working with health data from clinical trials, cohort studies, or large administrative health