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Data-driven predictions of dynamical systems are used in many applications, ranging from the design of products and materials to weather and climate predictions. Mathematical concepts from geometry
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planned acts, such as targeted terrorist activities. This exciting project will focus on developing a mathematical model (and a supporting research software) to predict the key performance indicators of a
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involve collaboration with our industrial partners. Projects provide a unique research and training experience and an exciting opportunity for you to develop mathematical innovation inspired by contemporary
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to oceanography and climate research communities. PERSON SPECIFICATION This project is suited for a candidate with a background in natural sciences, engineering or mathematics, with good numerical and programming
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, Mathematics. Excellent English written and spoken communication skills. It is desirable that candidates possess expertise in some (but not all, or even most) of the following areas: Microbiology, Bacteriology
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of Statistics at University of Warwick, Department of Mathematical Sciences at Durham University, and School of Mathematics, Statistics & Physics at Newcastle University. You will contribute to the development
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mathematical perspective? Are you an innovative and productive team player who enjoys being part of an interdisciplinary team which works on cutting-edge questions ranging from mathematics and theoretical
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industrial partner, this project aims to develop a novel modelling and analysis approach to address the mathematical and technical challenges of the fluid-structure interaction (FSI) mechanisms globally
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conducting a comprehensive literature review on existing knowledge and understanding relating to vacuum arcs, leading the establishment of a mathematic model for metal vapour arcs burning in vacuum background
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2:1 honours degree (or international equivalent) in mathematics, physics, engineering, computer science or other related discipline. To apply, please contact Dr Peter Brearley (peter.brearley