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challenges. We chose to build Swinburne as the prototype of a new and different university – one that is truly of Technology, Innovation, and Entrepreneurship. We are committed to a differentiated university
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-field methods developments · Upscale the process at prototype (ring) level demonstrating the concept of repair and post forming. · Contribution to the design and performance prediction through
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on leveraging deep learning and advanced image processing techniques to improve the current tools for biomonitoring of aquatic ecosystems. This position involves the development and application of machine
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on these instruments. The focus areas include nano-imaging, nano-analysis, and in-situ process control for nano-fabrication. AINA’s multi-disciplinary team of experts in charged particle optics, mechanical engineers