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Field
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complex systems and their role in the evolution of life. One of the key features of life is the presence of its essential molecules, such as amino acids, proteins, sugars and DNA, as a single mirror image
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number of techniques routinely used in the lab including histology, confocal microscopy and image processing. Prior expertise in cell culture, image analysis and coding would be highly appreciated. Part of
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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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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
, an active doctoral studies program, and state-of-the-art instrumentation. Onsite facilities include those for flow cytometry, confocal microscopy, live animal imaging, laser capture microdissection, phosphor
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unrelated to their own. They attend practical courses in novel technologies (live imaging, genomics, proteomics, etc.) and soft skills courses (scientific writing, presentation skills, intellectual property
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inviting applications for a PhD Student (f/m/x) for the project Theory and Algorithms for Structure Determination from Single Molecule X-Ray Scattering Images Project description Single molecule X-ray
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, Biomedical Engineering, or a related field. 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
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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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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