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an ARC Linkage Project focused on developing an autonomous system for detecting and quantifying structural damage in infrastructures (e.g., bridges, grain silos) using computer vision, digital twins, and
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@adelaide.edu.au You'll find a full position description and/or selection criteria below: (If no links appear, try viewing on another device) We are an Equal Employment Opportunity employer committed to providing a
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@adelaide.edu.au You'll find a full position description and/or selection criteria below: (If no links appear, try viewing on another device) We are an Equal Employment Opportunity employer committed to providing a
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in conventional silicon solar panels and at present there are no IEC stress tests that appropriately reflect the degradation mechanisms of printed solar devices. This project will develop the urgently
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on another device) We are an Equal Employment Opportunity employer committed to providing a working environment that embraces and values diversity and inclusion. Female applicants, people with a disability and
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: (If no links appear, try viewing on another device) We are an Equal Employment Opportunity employer committed to providing a working environment that embraces and values diversity and inclusion. Female
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The University of Adelaide and leading orthopaedic device manufacturer Austofix invite applications for two PhD projects, exploring Proximal Femoral Nailing for hip fracture patients About Austofix
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children. Mechanistic modelling of disease transmission involves the use of computer code to represent the epidemic dynamics of infectious disease spread within the community. This allows modellers
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and hands-on experience with AI and computer vision. Solid programming skills in Python, especially with PyTorch. Practical experience with deep learning projects, including working with attention
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these constraints into the training objective, complicating model training. This project aims to leverage advancements in computer vision, particularly in implicit neural representations, to embed priors in neural