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deep learning, imaging and data analysis would be helpful for this project. Must be eligible to enrol in PhD programs at Curtin University. Application process Please send your CV, academic transcripts
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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 Entrepreneurship
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including hybrid on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About You Completion or near completion of a PhD in cell
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, including maintenance of detailed filing systems, spreadsheets, image databases, websites and other administrative systems. Build and maintain highly effective working relationships with the External
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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 – one that is truly
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(Desirable) 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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and hands-on experience with AI and computer vision. Solid programming skills in Python, especially with PyTorch. Practical experience with deep learning projects, including working with attention
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, simulation and characterisation, as well as good knowledge of broader solar cell production and characterisation processes. The successful candidate will work on an established project funded by the Australian
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stakeholders to support student outcomes. Knowledge of quality assurance and accreditation processes within Australian higher education. Qualifications A PhD in a relevant discipline, or a Master’s level
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(Desirable) 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