302 postdoctoral-image-processing-in-computer-science-"Prof" PhD positions in Australia
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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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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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are available in the School of Mechanical, Medical and Process Engineering at the Queensland University of Technology (QUT, Brisbane, Australia), related to fluid transport processes in porous media. QUT is a
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of the Marshall Islands. The PhD candidature will be based at Flinders University (Principal supervisors Prof. Matthew Fitzpatrick, Dr Prudence Flowers). It is intended to support a project related to the history
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Economics (CHE) Integrated PhD Program , you will receive rigorous training in advanced health economics and related studies. The Integrated Program starts with advanced coursework, research training and a
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deep learning, imaging and data analysis would be helpful for this project. Must be eligible to enrol in PhD programs at Curtin University. Application process Please send your CV, academic transcripts
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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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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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Prof. Abhijit Mukherjee (Curtin University) Student type Current Students Future Students Faculties and centres Faculty of Science & Engineering Engineering courses Course type Higher Degree by Research
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. The PhD project will contribute to the implementation science and evaluation components of this program, which is grounded in principles of Indigenous data sovereignty, self-determination, and health equity