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fundamental research. The students willing to learn about IP management, create patents of their works, and translate research from lab-to-industry are encouraged to apply. At the end of the PhD, the student
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The scholarship is associated with developing a Digital Twin-Driven model in mass production for Ford Motor Company. The scholarship is associated with developing a Digital Twin-Driven model in mass production for Ford Motor Company. 3 Years 3 Years One (1). One (1). Australian Permanent...
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– Bushfire Evacuation, you will be primarily based within the School of Engineering but work closely with interdisciplinary teams across the university including the School of Global, Urban and Social Studies
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postgraduate research students. Ability to contribute to the teaching and learning program in a relevant field. Qualifications: Mandatory: PhD in Ecotoxicology or Environmental Science or in a relevant field
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rata) + 17% Superannuation Based at the Defence 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
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in NLP. Completed a PhD or equivalent qualification or research experience in machine learning, natural language processing and image processing. Emerging track record and recognition for quality
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to RMIT’s leadership in quantum science and technology. This includes collaborating closely with the other members of the QuRMIT Theory Lab, participating in research supervision, contributing to grant
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this position, you will have: PhD degree in relevant field Demonstrated knowledge of structural analysis of alloy components, Finite Element Modelling (FEM) and preferably morphology/topology optimisation
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. Qualifications and requirements A PhD in Engineering or Computer Science with relevance to the outlined research area. A first degree in Engineering with research experience in creating digital twins or digital
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and to produce high quality outputs. To be successful in this position, you will have: PhD or equivalent in relevant field. Demonstrated capability involving nanomaterials formulation (preferably lipid