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Patient-derived organoids are the hallmark of personalized medicine with seemingly endless possibilities to match the right treatment to the right patient. As organoid data are often longitudinal in
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control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands
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project is to design innovative monitoring algorithms for complex dynamical systems to automate fault isolation with diagnostics performance guarantees. Current health monitoring technology is typically
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guidelines to enhance effi- ciency, power density, reliability, and flexibility of power electronic converters. Additionally, we focus on power flow control algorithms and innovative methods for fault
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rely on visual inspections and reactive approaches. Future safety assessments can achieve the next level of proactiveness by collecting and analysing the right data in a timely manner, conducting data
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for anomaly Detection and diagnostics: Leveraging state-of-the-art machine learning and deep learning models for automated fault detection, classification, and time-till-failure prediction. This will involve
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wafers for compliance with the design requirements and the absence of production errors. This is the domain of wafer metrology. By illuminating a wafer and measuring the scattered fields, the scattering
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, introduces human error, and creates line-of-sight occlusions, disrupting surgical workflow. This interdisciplinary project aims to overcome these challenges by developing a vision-based marker-less navigation
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stacking error and removes the options for easy disassembly for repair, replace or recycle. In this project modification of the cell end cap design is to be investigated through FE analysis, prototype build
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of the Paralana Fault Zone in South Australia’s Flinders Ranges, these field-based PhD projects will address the following research questions: What are the relative contributions of radiolysis and serpentinization