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results. With expertise in machine learning, image processing and radiometry, you approach challenges with logical, creative and innovative thinking. You possess a demonstrated ability to drive impactful
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tasks. As imaging sessions take place in the evening, some work outside regular hours will be required. The remaining 40% of your role will involve research and professional development. You will have the
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to build Swinburne as the prototype of a new and different university – one that is truly of Technology, of Innovation and of Entrepreneurship. We are committed to a differentiated university
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experience in protein expression, purification, and biochemical characterization, particularly of nucleic-acid processing enzymes. Knowledge in advanced imaging techniques, such as single-molecule fluorescence
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to join a multidisciplinary team as a Research Fellow in Systems and Computational Neuroscience. This exciting opportunity is perfect for someone passionate about applying advanced imaging and computational
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alternatives, the FPGA technology will be leveraged to achieve a larger processing and memory bandwidth when working with large aperture arrays. The project will be a pathfinder for fast, all-sky imaging with
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to the safe and efficient operation of research equipment, infrastructure, methodologies and protocols Contribute to the upkeep of the project website and ensure safe handling and disposal of research materials
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mathematics or a related discipline, combined with experience in microbial culturing techniques and imaging/microscopy. With a growing publication track record and a clear ambition to build a research career
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mathematics or a related discipline, combined with experience in microbial culturing techniques and imaging/microscopy. With a growing publication track record and a clear ambition to build a research career
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approaches to model uncertainty for learned computer vision systems, including dense prediction. The position will develop novel methods for deep learning in computer vision that accurately quantify their own