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analysis will include legal doctrinal and empirical (i.e. legal computational and qualitative) methods that are specifically designed to capture and interpret internal (i.e. legal) and external (i.e
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hepatitis and liver disease. This post is funded by the National Institute for Health and Care Research (NIHR) as part of a significant research programme that leverages large-scale healthcare datasets
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of Edinburgh and Glasgow, with expertise across computer science, wearable computing, AI and criminology. Our programme of research utilises both experimental and literature-based approaches to explore
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Mobility Reading Group led by Nobuko Yoshida. The successful candidate will be located in the Department of Computer Science Reporting to Professor Nobuko Yoshida, the post holder will be responsible
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Machine Learning, Statistics, Computer Science or closely related discipline. They will demonstrate an ability to publish, including the ability to produce high-quality academic writing. They will have the
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support a high-value materials characterisation programme as a postdoctoral researcher. The ability to think outside the box with creativity, along with having the drive and ambition to develop those ideas
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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The Impact and Shock Mechanics Laboratory (ISML) is seeking a highly motivated scientist to support a high-value materials characterisation programme as a postdoctoral researcher. The ability
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previous GEM initiatives, including the Inclusive Cities programme. You will have a passion both for academic research and for knowledge exchange with policy makers, NGOs, and other stakeholders and an
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publication-ready habilitation. You hold courses independently in the Bachelor programme „Languages and Cultures of South Asia and Tibet” and the Master programme “Languages and Cultures of South Asia” within