58 parallel-computing-numerical-methods "https:" PhD positions at University of Birmingham
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dynamics using analytical and numerical methods to solve partial differential equations, -- excellent oral and written communication skills. Prior experience in nonlinear waves, fluid dynamics and numerical
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for candidates with a background in meteorology, climatology, physics, engineering and any related discipline, and a strong interest in applying advanced physical and computational methods to real-world
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tested by isothermal titration calorimetry (ITC) or microscale thermophoresis (MST) in collaboration with the lab of Prof. Andy Lovering. In parallel, minibinder/effector pairs will be co-expressed using
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related research strands, including: RAM Process Modelling: The development of advanced numerical models for RAM processes, incorporating complex phenomena such as chemically induced viscosity changes
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to the space-based LISA observatory. The research will advance post-Newtonian waveform modelling through improved analytical techniques, incorporate strong-field information from numerical relativity simulations
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candidates with a background in meteorology, climatology, physics, and any related discipline, and a strong interest in applying advanced physical and computational methods to real-world challenges in the area
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both analytical and numerical calculations. The PhD candidate should have (or about to complete) an undergraduate or masters degree in Physics or a closely related subject (preferably first class degree
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datasets from Kepler, TESS, and PLATO to reassess trends in exoplanet occurrence, structure, and evolution. Methods and Tools The project will involve: • Bayesian inference (hierarchical models, posterior
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, stimulating neuronal function with opto- and thermo-genetics in vivo, recording and analysing fruit-fly behaviour, aided by computational data analyses tools. Visit: https://more.bham.ac.uk/hidalgo/ Funding
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mechanics, and analytical and numerical methods to solve partial differential equations. Excellent oral and written communication skills. Prior experience in computational fluid dynamics or active matter will