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website to verify the effectiveness of the framework. You will have a PhD in a relevant computer science and engineering discipline (e.g., Computer Vision, Artificial Intelligence, etc.). This post is
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for an enthusiastic population health data scientist / epidemiologist / statistician / data and signal processing engineer committed to utilising data to improve population health, find out what works to build a
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the Department of Electrical Engineering and Electronics at the University of Liverpool. The project will focus on plasma processing of catalytic materials. Your role will include design, synthesis, testing and
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-dimensional hierarchical structures* (£1.6m), which Dr *García-Tuñón* holds. You will join the team working at the interface between materials, chemistry, and engineering. This is a unique opportunity to apply
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with a diverse training background to apply e.g. epidemiology, statistics, mathematics, engineering, physics, where you can apply your knowledge to health care data. You will have a PhD in epidemiology
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with a diverse training background to apply e.g. epidemiology, statistics, mathematics, engineering, physics, where you can apply your knowledge to health care data. You will have a PhD in epidemiology
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relevant field (Chemistry, Computer Science, Engineering, Materials Science or Physics etc.), expertise in computer-vision is essential, chemistry, materials science or data science background would be
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collaborators. The aim is to automate where possible to free up researcher time. You should have a PhD in relevant field (Chemistry, Computer Science, Engineering, Materials Science or Physics etc.), expertise in