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Failure Analysis of Composite Sleeves for Surface Permanent Magnet Electrical Machines This exciting opportunity is based within the Power Electronics, Machines and Control (PEMC) and Composites
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spin-burst experiments, will complement advanced finite element analysis (FEA) in evaluating failure behaviour. Who we are looking for An enthusiastic, self-motivated, and resourceful candidate with a
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of these ion channels is associated with various diseases such as lysosomal storage disorders, cardiac arrhythmias and heart failure. Further information can be found on our homepage . The BMC is located
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are key to the project's success. The experiments will be supported by data analysis from various research techniques, including cryo-electron microscopy. The studies will be validated at the enzymatic and
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analyses are required. An interest in, and preferably prior experience with, genomic analysis and bioinformatics is considered an advantage. We are looking for highly motivated, creative, and ambitious
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for the independent conduct of a significant element of research projects. This includes assistance in study design, IRB submission, data analysis and grant submission. Among the key duties of the position
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potential single points of failure. In today’s landscape, many organizations rely on third-party DNS services without full visibility into what lies beneath. These managed services often depend on other
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simulations for AI model validation. ✔ Artificial Intelligence (AI) & Deep Reinforcement Learning (DRL) for energy optimization ✔ Predictive Maintenance & Failure Analysis using Machine Learning and Physics
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to investigate mechanical properties under application-relevant conditions Microstructural characterization using advanced optical and electron microscopy techniques Analysis and correlation of mechanical behavior
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potential market failures and prevention mechanisms. You will be combining theoretical analysis with practical applications, involving mathematical modeling, algorithm development, and coding. You should have