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Field
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. Specifically, NIR sensors, hyperspectral imaging coupled with standard or macro lens, spatially resolved spectrometry, evolving plots, and FTIR will be used for the non-invasive characterisation of raw material
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Systems, or a related field. Strong analytical and critical thinking skills. Strong machine learning (ML), computer vision (CV), large language models (LLM) for quantitative data, texts, images, and sensor
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available sensor and meter infrastructure, affordable computational resources, and advanced modeling algorithms. MPCs excel in handling constrained optimizations and new operational conditions, whereas RLs
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networks could change the way we communicate, run apps in the cloud, and help scientific tools and sensors. To build such quantum networks, nodes based on solid-state emitters are promising contenders. One
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sensors. To build such quantum networks, nodes based on solid-state emitters are promising contenders. One specific type of solid-state emitters, rare-earth ions (REIs) in host crystals, are particularly
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sensors. We seek a motivated and creative candidate eager to learn new skills, with a strong collaborative mindset and excellent proficiency in written and spoken English. The position offers opportunities
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Organisation Job description Project and job description Our project will make use sensing technologies (hyperspectral cameras, NIR and Raman sensors), and an edge-compute AI pipeline to sort used
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materials. This class of materials has unique properties which make them promising candidates for next-generation electronic devices, energy storage systems, sensors, and catalysts. However, they also pose
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AI & Cyber Futures Institute - Charles Sturt University | Bathurst, New South Wales | Australia | about 1 month ago
Institute is seeking a motivated and qualified candidate for a fully-funded PhD scholarship. The preferred candidate should have strong programming and data science abilities, with experience in sensor
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for Surface Chemistry and In Situ/Operando Spectroscopy, led by Prof. Christian Hess, is a multidisciplinary research group that works on understanding the mode of operation of catalysts, gas sensors and