81 postdoctoral-image-processing-in-computer-science-"Prof" PhD positions at Curtin University
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emission from the proposed process and the conventional methods will be conducted. This scholarship is funded by the Resources Technology and Critical Minerals Trailblazer (RTCM Trailblazer) . The RTCM
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undergraduate units in computer science or coding experience gained through Honours or Masters research work Local and international students are welcome Full-time onshore enrolment Application process Any future
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equivalent). Students with previous research experience and publications in the fields of materials science, materials engineering, chemical engineering, electrochemistry, inorganic chemistry, process
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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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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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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
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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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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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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