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The scholarship will be provided from the Australian Research Council Industry Fellowship. The student will work on industry-oriented projects and its deliverables while carrying out significant
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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
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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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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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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
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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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, inventors, designers and game-changers, supported by talented professional staff. We offer higher education programs across all STEM disciplines at the Bachelor, Master and PhD levels, and ensure our
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. Mandatory Qualifications For the Level A Industry Research Assistant: Qualification in the relevant discipline area preferably at postgraduate level For the Level B Industry Research Fellow: PhD or equivalent
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partnerships, and produce scholarly outputs. The role also involves coordinating key organisational activities, including ethics applications, fieldwork logistics, management of the Yoonggama Ma Nga digital
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academic practice For the full set of selection criteria, please refer to the detailed Position Description (PDF available via the application portal). Essential: A PhD (or equivalent) in quantum science