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Field
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benefit from a co-supervisor based at the nearby John Innes Centre, a world-renowned centre for plant science, where you will spend time in the Biomolecular Analysis Facility. You will also have the
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the right one for you! This is a fully funded PhD position to develop micromechanical models of high-pressure die-cast aluminium, a unique opportunity for a motivated individual to work in a collaborative
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environment Geotechnics research at the Department of Architecture and Civil Engineering focuses on the characterisation and modelling of complex geomaterials, particularly natural clays. Our work bridges
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. Responsibilities and qualifications The nature of this project suggests that you should have a strong interest in the mathematical and theoretical aspects of machine learning. A solid background in mathematics (e.g
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work in astronomy and geodesy. Later on, around 1930, the close and fruitful collaboration between mathematicians and physicists in Göttingen led to the mathematical theory of quantum mechanics
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machine learning for safe and optimal control of cyber-physical systems. The projects are expected to be funded by the VILLUM INVESTIGATOR project S4OS (“Scalable analysis and synthesis of safe, secure and
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will also use finite volume-based numerical simulations and (if desired by the student) mathematical modelling. You will work alongside other researchers within the Fluid Dynamics Research Centre
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and administrative duties. Requirements: very good university degree in mathematics, preferably with a focus on probability theory or analysis; curiosity and strong interest in rigorous, methodical
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to velocity profiles, which will be informative for the design of offshore renewables. Further mathematical analysis of these nonlinear terms will shed light on the question: what generates these extreme waves
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. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus