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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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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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. As your experience grows, you’ll take on more responsibility and contribute more independently to the research program. We welcome applicants at either Level A (Research Assistant) or Level B (Research
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Overview: RMIT Europe, in collaboration with RMIT University, is looking for a Postdoctoral Fellow to join the AuSpire Program. This position will focus on Regenerative Design Interventions in
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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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on applied, industry-relevant quantum research in areas such as: Quantum sensing, navigation, and timing Quantum materials and manufacturing Quantum computing and communication Quantum fundamentals RAQT serves
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Overview: RMIT Europe, in collaboration with RMIT University and Eurecat, is looking for a Postdoctoral Fellow to join the AuSpire Program. This position will focus on Water Use Fit for Purpose
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Overview: RMIT University, in collaboration with ACCIONA, is looking for a Postdoctoral Fellow to join the AuSpire Program. This position will focus on Geopolymer Optimised for Acid Exposure
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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