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Field
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4 fully funded PhD student positions in the computational, mathematical & experimental plant science
. More than 30 research groups study regulatory networks controlling fundamental traits such as reproductive development, organ geometry and growth, innate immunity and microbiome effects on plant performance
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. This project will revolve around various questions in spectral geometry, especially around low eigenvalues and related eigenfunctions. The eigenfunctions exhibit various interesting topological and geometric
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volumes can be dealt with using Discrete Cosine Matrices (DCM) and quaternion-based orientation modelling. Mining deposits are rarely isotropic, their geometry reflects geological processes such as folding
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breeding. More than 30 research groups study regulatory networks controlling fundamental traits such as reproductive development, organ geometry and growth, innate immunity and microbiome effects on plant
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their potential; many reported behaviours are strongly dependent on sample preparation and alignment and current fabrication routes restrict sample geometries thus limiting current applications. This PhD
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of Mathematics ranges over many different areas of mathematics, from algebra, geometry and analysis to mathematical logic. Project description We seek to recruit a PhD student for the following project: Group
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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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PHD DEVELOPMENT AND EXPERIMENTAL VALIDATION OF UNDERGROUND SAND-BASED THERMAL ENERGY STORAGE SYSTEMS
, including dimensioning and layout principles and correlations between material properties, geometry and operational parameters. You will conduct technicalperformance and environmental analyses, including
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@bham.ac.uk ). Make sure to mention Prof. T. Daniel Brennan and Geometry and Mathematical Physics Group in your application. Funding notes: While all applications will be given full consideration, the available
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-fidelity industrial simulation. Engineering applications include Formula 1, turbomachinery and nuclear fusion. These problems exhibit complex geometries and challenging time-varying physics which require