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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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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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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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drones can capture visual and thermal imaging at a very high resolution, suitable for detecting photovoltaic modules and the cleanliness of solar panels. These images and other data can be processed by
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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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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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appropriate learning and training solutions to enable business users to operate successfully with new business processes, reports, data and Salesforce CRM functionality. You’ll be key to equipping our staff
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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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small-scale and/or large-scale structural testing, including operation of servo-hydraulic dynamic test frames, knowledge of control software, and knowledge of the basic concepts of hydraulic systems. Have