75 image-coding-"Foundation-for-Research-and-Technology-Hellas" PhD positions in Australia
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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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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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submitting your application. 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 new and
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University of Technology 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
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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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include placing machine vision cameras, performing laboratory trials of closed-loop plant care for example with a gantry robot, comparing day and night imaging, and developing and evaluating automated and
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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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will design quantum-safe threshold encryption and/or authentication algorithms. The expected outcome is the design of methods, techniques and their software prototype to implement quantum-safe threshold