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study flow dynamics relevant to reactor design using optical diagnosing methods, followed by image processing, which may include machine learning-based techniques. This suits Mechanical Engineering
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phenomenon that has the potential to shift an established photochemical paradigm. The research will involve a range of computer modelling methods and techniques in the areas of theoretical and computational
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Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply
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the following skills and qualifications (tailored to the specific project): Driven individuals who want to be a part of a world class team Some familiarity in healthcare or engineering/image based analysis
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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prevention strategies. The centre is made up of 27 research units, staffed by around 200 researchers and 100 students. The Youth Mental Health and Technology team puts young people at the centre of their own
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200 researchers and 100 students. The Youth Mental Health and Technology team puts young people at the centre of their own care. We partner with health services to develop innovative treatments
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200 researchers and 100 students. The Youth Mental Health and Technology team puts young people at the centre of their own care. We partner with health services to develop innovative treatments
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focus on quantum channel discrimination for high-resolution spectroscopy and AC field sensing. The project aims to develop theoretical frameworks for distinguishing closely related quantum processes