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PhD in Computer Science, Engineering or other Machine Learning-related field. • Programming experience in python, C++ or other relevant language and experience in deep neural networks • Strong
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research and innovative teaching. You can learn more about Adelaide University HERE and more information will be provided throughout the recruitment process. Enjoy an outstanding career environment We
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or nearly completed PhD graduate with experience in protein biochemistry to join the Herbicide and Antimicrobial Innovation Laboratory led by ARC Future Fellow Dr Tatiana Soares da Costa. Working
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an impactful career in quantum technology within a world-leading research institution. To be successful at Level A you will need: A PhD in Quantum Physics, good knowledge in the Physics of Quantum devices
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holds Bachelors’ degrees in English literature (with Honours) (1961), and musicology (with Honours) (1970) from The University of Adelaide, and a PhD from the same university (1979). Her work includes the
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while they participate in a technology-mediated learning experience. This is an opportunity for an emerging academic to join a vibrant team as we launch Australia’s new university for the future, Adelaide
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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
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applies. 2 Fixed-term position available for up to 24 months. Flexible work arrangements can be negotiated with the right candidate. Be part of the Australian Institute for Machine Learning -- the largest
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to lead to improved predictive design of biomass crops for the production of sustainable aviation fuel. The postdoc will also co-supervise PhD students and Honours students. To be successful you will need
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to engage and collaborate with the broader University, school and discipline group to establish collaborative multi-disciplinary research outcomes. Qualification/s: A PhD in Civil Engineering specialising in