80 postdoc-in-thermal-network-of-the-physical-building PhD positions at Curtin University
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conservation of World Heritage areas in Western Australia. Application process Please submit an Expression of Interest to HDRSCH-applications@curtin.edu.au , with the following information (must be submitted as
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experiences in structural engineering, structural dynamics and structural vibration control are preferred. Application process Future student, please contact us via the EOI form . Before submitting EOI form
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honours, or close to obtaining the degrees (e.g. in the last semester/final stage of the degree). Application process Future student, please contact us via theEOI form . Enrolment Requirements Recipients
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analysis techniques, are preferred. Application process To apply, please send your expression of interest together with your CV, English testing score,qualifications, publications and academic transcripts
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with Master degrees with technical publications and research experiences in structural engineering, structural dynamics and protective structures are preferred. Application process To apply, please send
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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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to reporting their academic progress to the Forrest Research Foundation Director each year. Application process Applications close on 31 October 2024. Applications must be submitted via the Forrest Research
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conducted. Second, the project will use a task analysis methodology (Sharbanee et al., 2019; Greenberg, 2007) to create a sequential model of the process that couples go through to resolve imbalances in
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) Application process Please contact us via the EOI form Enrolment Requirements Recipients must complete all the milestones and remain enrolled on a full-time basis for the duration of the scholarship Enquiries
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detection and visualization, physics modelling and vibration characteristic identification techniques will be included in the digital twin frameworks. AI techniques will be further developed for simulating