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experiments, and carrying out imaging work. In addition, you will enjoy working both independently and as part of a team and will be able and actively participate in group analysis work. You should have a
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Swinburne’s strategy draws upon our understanding of future challenges. We choose to build Swinburne as the prototype of a new and different university – one that is truly of Technology, of Innovation and of
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This project aims to develop robust algorithms capable of identifying and analyzing fingertips extracted from both static images and video footage. Machine learning techniques, particularly computer
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) and computer simulation (FEA) Experience in material characterisation and experimental testings Knowledge in impact dynamics Passionate and have interest in pursuing PhD degree. Experience in research
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Science and Technology Group (DSTG), Port Melbourne, but may be required to work from time-to time at other campuses of the University Make a Real Impact in Defence Research We’re looking for an Industry
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Full-time or Part-time (negotiable 0.6 -1.0 FTE), Fixed Term position until 31 December 2026 Salary Level HEW 6 $93,891 - $101,633 p.a. (pro rata) + 17% Superannuation Based at the Defence Science
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qualifications. About Swinburne University of Technology Swinburne’s strategy draws upon our understanding of future challenges. We choose to build Swinburne as the prototype of a new and different university
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PRIMARY DETAIL • Build your academic networks and career, access cutting-edge facilities and technology • Salary package: $109,897to $113,697 p.a. (Level A Step 7- 8), plus 17% employer’s
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the direction of A/Prof Claudia Szabo in the School of Computer and Mathematical Sciences at the University of Adelaide. The project is a collaboration with Defence Science and Technology Group, within the Combat
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chemistry. Application process Please send your CV, academic transcripts and brief rationale why you want to join this research project via the HDR Expression of interest form to the project lead researcher