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dynamics simulations to recover dynamic strain and flow fields. Candidates should hold a PhD in a relevant biology or engineering discipline and be competent with numerical simulations. We are looking for a
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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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imagination for atomistic structure and dynamics; an interest in fundamental science with real-world applications; and both the initiative to work independently and the skill to collaborate in a
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Department of Chemistry. It is one of five schools in the Faculty of Science and Engineering. The School is an exciting and dynamic environment, home to over 530 undergraduate students, 70 postgraduate taught
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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