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technologies for patient benefit. The post holder will play an active role across components of the theme. We believe that integrating artificial intelligence (AI) algorithms and state-of-the-art monitoring will
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work with common finite element simulation software are required. Experience using established medical image analysis algorithms would be beneficial. You will help create a healthy and vibrant research
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for proving hardness, and devise new algorithms. You will be expected to conduct individual research and develop research questions, regularly write research articles at a national level for peer-reviewed
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diseases, epidemiology, molecular biology, computational biology, and mathematical modelling. You will play a key role in translating emerging innovations, such as mobile apps, wearable sensors, molecular
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movement; (iii) generate benefits for both society and the environment by guiding possible mitigation strategies; and (iv) drive technological progress through the development of novel algorithms
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possibility of extension. Flexible and hybrid working patterns will be considered. The AI Hub: The EPSRC-funded Erlangen AI Hub brings together leading minds from across the UK’s mathematical, algorithmic and
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system with integrated sensors. You should hold or be near completion of a PhD/DPhil with relevant experience in the field of robotics, biomedical engineering, information engineering, electrical
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systems. You will support digital project delivery and the University's Smart Campus initiatives, integrating spatial and sensor data to enhance building performance, space use, and user experience. From
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mathematical, algorithmic and computational communities, employing foundational tools to break new ground in AI, and redefine its future use to benefit science, industry, the economy and society. The Hub