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. The candidate will work closely with the CIs, post doc and PhD (machine learning) candidate, to develop choreographic structures used to generate movement and interaction capabilities that will define human-robot
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applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method
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network New graduates Get involved Grow your knowledge Connect and engage at events Industry-leading alumni Indigenous Australian alumni Additional resources Alumni tools and FAQs Discounts and offers
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software engineers by trade, Xiippy's founding team blend a range of unique cryptography and product development expertise in solving difficult problems in the field of payments.
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, criminology, statistics, or data science experience in managing and analysing large relational datasets in R, SPSS, Stata or similar software strong quantitative skills excellent communication skills, both
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submission of a proposal as to how the funds would support the advancement of your research work, for example: field work, conferences, community engagement, professional networking, or RA support. As the