537 postdoctoral-image-processing-in-computer-science-"Multiple" positions at Curtin University
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the scholarship closing date Application can be saved at any point of the process John Curtin Scholarship Program Guidelines can be found under the Applying for scholarships link (Application guidelines - scroll
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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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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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Status: Open Applications open: 12/03/2025 Applications close: 31/10/2026 View printable version [.pdf] About this scholarship Description/Applicant information The Global Scholars program offers a
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Faculty of Health Sciences. About the Role In this role, you will help our researchers identify competitive state, national, and international funding opportunities and guide them through the grant
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application form to complete) Step 2: Complete Complete the application form online Application form can be saved at any point of the process Multiple scholarships can be applied for at one time Applying for a
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saved at any point of the process Multiple scholarships can be applied for at one time Applying for a scholarship - See guidelines and tips (including the interview preparation) on how to complete your
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Job Reference: 993362 About the Role Curtin University is seeking a highly organised and proactive Program Management Coordinator to join our Digital Technology Solutions (DTS) team. In this dynamic
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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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implementation of the heuristic methods would be the hallmark of this study. Aims The proposed study aims to offer a paradigm shift in underground mine planning process through an integrated model that solves