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objective is to find the best way to embed simple partial differential equations into AI-based models to solve fluid sensing problems in a robust and efficient manner. Your role may include developing new
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equations into AI-based models to solve fluid sensing problems in a robust and efficient manner. Your role may include developing new optimization techniques, coding new algorithms, creating new mathematical
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working at LJMU here . If you feel that this is the role you have been looking for and your skills and experience can make a real difference at LJMU, we look forward to hearing from you. LJMU is an equal
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We are seeking a highly motivated Research Assistant to join the AIRWISE project, an interdisciplinary research initiative focused on improving urban air quality and wellbeing through smart sensing
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the role and make it their own. If you think that this might be the role for you, please write and tell us why. If you have any informal enquiries, please feel free to contact Dr Amy Orben: amy.orben@mrc
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A position exists for a postdoctoral Research Assistant/Associate to work on the development of novel semiconductor optoelectronic and sensing devices using high-throughput fabrication and
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and quantum sensing. We are part of Finland’s major national quantum initiatives, including the InstituteQ and the Finnish Quantum Flagship (FQF) , and benefit from access to world-class experimental
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outcomes will support the development of strategies to mitigate these deterioration processes and improve the resilience of geotechnical infrastructure.Position 2: Advanced sensing and AI-driven diagnostics
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. The introduction of additional sensory channels into next generation VR environments such as haptics (touch), olfaction (smell) and gustation (taste) will produce levels of immersion not possible with the current
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novel sensing approaches to combine with machine learning algorithms to solve real-world problems in food manufacturing. You will have sound knowledge in electronic engineering, embedded systems design