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novel opportunity to automate and improve the frailty assessment process, aiming for greater consistency and predictive accuracy. Aims i) Develop a deep learning algorithm to autonomously detect and
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This project will advance automated technologies for machine vision sensing of plant health in Controlled Environment Agriculture (CEA), for example in vertical farming systems. CEA is projected
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Preparation, Surface Finish, and their effects using Stream Finishing Technology About the Role Are you ready to push the boundaries of smart machines, industrial automation, and advanced manufacturing? Join a
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Mitigation and Trust: How can interfaces and interaction systems reduce the likelihood of operator error while building trust in semi-automated diagnostic tools? Your research will include speculative design
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computer vision and machine learning methods and adapt new algorithms to automate inspection procedures of PV plants. Given the data captured by a remotely operated drone, we first investigate the required
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for automation of Hydrogen Deuterium Mass Spectrometry, which can connect structure, behaviour and function of proteins, for understanding diseases and developing drug and vaccine treatments. Modern AI techniques
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markers/sensors and ii) automated assays based on high-content imaging systems to screen diverse chemical libraries for new and innovative bioactive molecules. This project will be highly collaborative and
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This project aims to advance the field of human movement science by addressing the challenges encountered when developing a low-cost, automated system for screening the movement of pre-elite student
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inadequate, lacking the qualitative foresight crucial to Australia’s transition to digital and automated technologies and net zero carbon emissions. This fellowship will innovate new ethnographic methods
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safety documents. Chemical safety and compliance Consultation Contractor Ergonomics and human factors First aid kits and automated external defibrillator Hazardous waste Health & Safety Representatives