288 postdoctoral-image-processing-in-computer-science-"EPIC" PhD positions in Australia
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significant agricultural problem, while gaining expertise in advanced soil science techniques and working within a multidisciplinary team of researchers. Students with relevant expertise and interest in soil
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About CSIROCSIRO, Australia's national science agency, is a multidisciplinary research organization that uses science and technology to solve challenges and improve people's lives. Established in
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required new IEC standards relevant to the performance and lifetime of printed solar technology through developing a detailed understanding of printed solar degradation mechanisms and interactions with
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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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brings together an industry partner, a university and Australia’s leading science agency, CSIRO, to co-develop a four-year industry-focused PhD project. The program supports a three-way partnership aiming
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expertise in advanced environmental geochemical and mineralogical techniques, and collaborate within a multidisciplinary research team. Students with backgrounds in environmental chemistry, soil science
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the capacity to undertake significant research. At least the degree should demonstrate completion of food chemistry, processing, engineering or related units. Additionally, applicants with food industry
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Australian Research Council (ARC) Funded PhD Opportunity at Faculty of Engineering: High-Speed Rail and Sustainable City Sizes in Australia Location: Clayton campus Department/Unit: Monash Institute
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models for structural health monitoring of civil engineering structures. Digital twin models are used to interpret real time information from videos and images aided by computer vision techniques
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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