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the following skills and qualifications (tailored to the specific project): Driven individuals who want to be a part of a world class team Some familiarity in healthcare or engineering/image based analysis
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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 of Technology, of Innovation and of
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PhD Scholarship in ‘Using nanoparticles to enhance the immune response and improve vaccine efficacy’
sorting, multiplex cytokine analysis (Luminex), IVIS imaging, as well as ELISA, ELISPOT, immunohistology/immunofluorescence, proliferation and functional T cell assays. There is also potential scope to use
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Swinburne University of Technology Swinburne Horizon 2025 draws upon our understanding of future challenges. With this new strategic plan, we choose to build Swinburne as the prototype of a new and different
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methodologies, including quantitative, qualitative, and mixed methods. Innovation: Noble thinking and ability to innovate a new prototype to solve industry gaps in cyber security. Analytical skills: Problem
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publications and research experiences in structural dynamics and structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data
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outcome is the design of methods, techniques and their prototype to implement trusted PQC migration. The potential benefit is to enhance the security of Australian critical infrastructures against quantum
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Samford Ecological Research Facility VISER Allied facilities Advanced Robotics for Manufacturing Hub Herston Imaging Research Facility Translational Cell Imaging Queensland Translational Research Institute
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structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data analysis techniques, are preferred. Application process To apply
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on the fate of black holes in our Galaxy. Objectives To gain a full picture of the black hole population in our Galaxy, we aim to combine novel theoretical simulations of black holes with data from nascent