34 algorithm-development-"Prof"-"Washington-University-in-St" "Prof" Postdoctoral positions at University of London
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the training dynamics. This project seeks to establish a mathematical framework for closing this loop by quantitatively measuring and analysing the evolution of neural networks during training. We will explore
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2025. We seek to recruit a Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based
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with Prof. Heath Murray at Newcastle University. The group has routine access to the Titan Krios microscopes at LonCEM and eBIC and an in-house computing infrastructure for data processing. About You We
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. The project will be carried out in close collaboration with Prof Draper’s group at Oxford and with the support of Prof Wright’s group at the University of York. This research project focuses on the RIPR protein
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databases. Based in the Centre for Primary Care at Whitechapel, you will join a creative, collaborative, multi-disciplinary research team, led by Dr Anna De Simoni and Prof Chris Griffiths from the Centre
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treatments. To achieve this, we will develop personalised cardiac models at scale, and update these models over time, using imaging and electrical data collected by collaborators at multiple centres. We
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involves carrying out research to evaluate the particle detector technologies currently developed at QMUL and their suitability for incorporation in space-borne applications, such as CubeSats. The project
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develop, synthesise and characterise materials for this project. About You The post is suited to a PhD graduate with a background in materials chemistry or a related discipline. If you have a vivid
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the objectives and development of the research programme on the Oncogenic and Immunogenic Roles of Transposable Elements in Cancer. The appointed PDRA will be integrated into a multidisciplinary team and will
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About the Role You will develop and apply novel computational methods to quantify the societal impact of fundamental science discoveries. Candidates close to completion of their PhD will initially