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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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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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supervisor, and copy the link to this scholarship website into question two of the financial details section. What happens next? Your application will be assessed by the supervisory team and shortlisted
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as your proposed principal supervisor, and copy the link to this scholarship website into question two of the financial details section. What happens next? Your application will be assessed by
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, nominate Dr Andrew Stephens as your proposed principal supervisor, and copy the link to this scholarship web page into question two of the financial details section. About the scholarship This PhD project
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are looking for a motivated and capable researcher who is eager to grow into this opportunity. The selection panel will use the following criteria: Familiarity with crop simulation models (e.g. APSIM, DSSAT
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-field imaging of dynamic processes" "Multi-scale X-ray speckle-based imaging" "Spectral X-ray speckle-based imaging" "Single-shot multi-projection X-ray phase-contrast imaging" "X-ray virtual histology
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AEMO’s annual General Power System Risk review AEMO must model the power system at a 5 year ahead time horizon. Modelling at this time horizon while accounting accurately for power system dynamics in PSSE
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understanding of gene presence/absence, structural variations, and evolutionary dynamics. In this project we will aim to develop novel dynamic programming computational methods for pangenome assembly of diploid
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manufacturing sectors into valuable products. The scholarship will support one student to work on the development of novel biomass based adsorbents for CO2 capture. A combined experimental and simulation methods