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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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approach. You’re confident working independently while building positive relationships. About the role Reporting to the Professor of the Learning Sciences, you will contribute to UniSA Education Futures
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and standing recognised by the University/profession as appropriate for the relevant discipline area (e.g., AI/Machine Learning, Bioinformatics). A proven track record of research and scholarly
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strong sense of community & inclusion Enjoy a career that makes a difference by collaborating & learning from the best At UNSW, we pride ourselves on being a workplace where the best people come to do
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day ago
communication, and the design and development of state-wide resources for informed and timely preparation and response to flooding events. The Person The successful candidate will hold a PhD in design or a
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 13 days 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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, Matlab etc) A good understanding of appropriate statistical analysis techniques Qualifications Mandatory: PhD or equivalent in relevant field. Please Note: Appointment to this position is subject to
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of students and staff in plant synthetic biology, and building partnerships with other PSBA Network members and external stakeholders from industry and government. The Person We are looking for a PhD qualified
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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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PhD in Economics is a desirable criterion, we will consider candidates currently completing a PhD in Economics or a related field (such as Statistics or Applied Data Science) and who have a strong