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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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element methods. Additionally, expertise in computational fluid dynamics, solid mechanics and fluid-solid interaction is essential. Knowledge or experience in multi-scale modelling and machine learning
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project investigating mechanosensing in Diptera. This post will focus on using detailed wing geometry models and kinematic measurements in computational fluid and structural dynamics simulations to recover
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dynamic environment. You will be supervised and mentored by Dr Kaili Rimfeld and Dr Dan Anderberg, with training tailored to your career goals. We are particularly interested in candidates with: A strong
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of Engineering and Materials Science (SEMS) at Queen Mary University of London, you will join a dynamic, multidisciplinary team with world-class laboratories and extensive collaborative networks, providing
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, dynamic and growing discovery research group as a postdoctoral researcher. The postholder will work in Dr Knuepfer’s group, whose team explores molecular mechanisms of red blood cell invasion by malaria
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the School/Department/Institute/Project The Wolfson Institute of Population Health (WIPH) is an exciting and dynamic environment, home to 400 staff, 91 PhD students and more than 500 postgraduate taught