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Field
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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. We are committed to a differentiated
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journal papers Your profile Masters, Diploma or equivalent degree in IT/computer science/statistics/applied mathematics/data science/biomedical engineering or of relevant scientific field A solid background
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manufacture, to enable quantitative imaging. Your research will include a mix of computational and experimental work to develop and characterise these instruments. Monte Carlo simulations (using GEANT4) will
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of electron microscopy imaging and spectroscopy to reveal the structure–property relationships that govern molecular adsorption mechanisms. This interdisciplinary project is fully funded by DTU’s PhD grant
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including the newly established Quantum Hub in Sensing, Imaging and Timing (QuSIT) and a newly awarded Royal Academy of Engineering (RAEng) Research Chair on multistatic radar systems. Finally, it will
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such as landslide movement style, runout, and how landslide hazards evolve over time. This Ph.D. project will leverage the analysis of new time-series data from cloud-based satellite image archives
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+ Quantum Information Science + Quantum Optics + Theoretical Physics , Quantum Sensing , Quantum Sensors , Quantum Simulation , Quantum Technology , Quantum Transport , Quantum transport in low-dimensional
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particular focus will be on preparing and testing new imaging protocols for brain tumors, where the technology is evaluated for clinical application. The work is carried out in close collaboration with
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, Materials Science, or Manufacturing Engineering. Applicants should also ensure they meet the eligibility criteria for entry into a Swinburne PhD program. Full details can be found here . Additionally
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Provide human experts with a reliable second opinion This project integrates image processing, data analytics, machine learning, and computational modelling, with applications in aerospace, mechanical