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expertise in AI and biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a multidisciplinary team at KCL, UCL and with clinicians
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candidates with a background in meteorology, climatology, physics, and any related discipline, and a strong interest in applying advanced physical and computational methods to real-world challenges in the area
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problems? The Scalable computing group are focused on applying Machine Learning/AI and visualisation to real-world problems – highlighted by the fact that the National Innovation Centre for Data is a spin
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minimum of a 2:1 bachelor’s degree or equivalent in archaeology or environmental science or another strongly-related discipline. International applicants will also need to meet the University’s
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: At least an upper second-class degree (preferably MSc) in a Science or Technology discipline. Good working knowledge of machine learning and deep learning. Hands-on knowledge of Python or PyTorch
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King's College London Department of Engineering | London, England | United Kingdom | about 1 month ago
. You will be part of an active research programme in the Heat and Fire Lab (https://heatandfire.github.io/ ) in the Department of Engineering under the supervision of Dr Francesco Restuccia . Our group
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training programme by the University of Liverpool. As well as gaining a formal HE teaching qualification, you’ll learn key pedagogical skills for the academic job market, primarily through shadowing mentored
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experience to become a rounded scholar: £20,780 annual maintenance grant* Full coverage of PhD programme fees Higher Education (HE) teacher training and practice. This means that as well as pursuing your PhD
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across different imaging devices, including future sensors with unknown spectral sensitivities. Training The student will be based at the Colour & Imaging Lab at the School of Computing Sciences which has
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equivalent in a related discipline. This project would suit someone with: Experience with programming (Python, MATLAB), background in aerospace, computer science, robotics, or electrical engineering graduates