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, please see the Position Description hyperlinked below or contact Ricky O'Brien via email ricky.obrien@rmit.edu.au Position Description - Research Fellow, Imaging Please note, if you are viewing this advert
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information, please click here to view the information booklet. If you are unable to access this link, please email talent@uq.edu.au for a copy of the booklet. Please note, you must maintain unrestricted
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characterisation including NMR, SEC, high-resolution electron microscopy, X-ray scattering (SAXS and WAXS), AFM, XPS and other characterisation methods. Evidence of publications in reputed refereed journals and
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at the top of this page. For further information about this position, please see the Position Description hyperlinked below or contact Ricky O'Brien via email ricky.obrien@rmit.edu.au Position Description
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) GRADE 7, £39,355 - £45,413 pa Fixed-term Ref: 095593 A Research Fellow position is available in the group of Professor M. J. Rosseinsky OBE FRS to work in a team of computer scientists and materials
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8302 1700 or via email at recruitment@unisa.edu.au using job reference number 7173. Please note applications will not be accepted via email and must be uploaded via the Working at UniSA Portal
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information about these positions, please see the Position Descriptions hyperlinked below or contact via email Michael Jones - Senior Industry Research Fellow via email michael.jones4@rmit.edu.au
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information about these positions, please see the Position Descriptions hyperlinked below or contact via email Michael Jones - Senior Industry Research Fellow via email michael.jones4@rmit.edu.au
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collaboration between industry, government, and academia. The Australian Institute for Machine Learning (AIML) at the University of Adelaide is the largest computer vision and machine learning research group in
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and oral communication skills, including drafting of academic papers and grants High level computer skills with software skills such as Microsoft Office, SAS, SPSS If this sounds like you, we highly