48 parallel-computing-numerical-methods PhD positions at University of Birmingham in United Kingdom
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control strategies integrating fuel, engine, electric machine, and energy recovery systems for improved overall efficiency. Validate the developed methods through experimental and simulation studies
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(e.g. locking oscillators to a common source) but also hybrid methods Analysis of target Signal-to-Noise Ratio (SNR) achievable through effective signal synchronisation against use cases
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applications. The research will examine how key parameters—such as printing speed, toolpath strategy, material rheology, and geometric complexity—influence interlayer adhesion. In parallel, the project will
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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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(ED&I) and alternative routes into research. Desirable skills include experience in modelling and simulation (MATLAB/Simulink, Python), energy systems, and intelligent control methods. Applicants should
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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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parallel expansion in mining to meet this demand is expected. The environmental, economic and social impacts of this global expansion are significant and need to be assessed, so that we do not trade one
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system an opportunistically attack human cells. In this respect mobile DNA elements (particularly transposons) appear key. We have developed a new genomic method to track genome rearrangements that occur
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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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. The resulting findings will help understand how the brain works, how we can maintain brain health and what causes brain disease. Methods We will use the fruit-fly Drosophila as a model organism, for its