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of Mechanical Engineering’s Thermofluids Group at the University of Sheffield for a fully-funded PhD on mathematical modelling and control of turbulent flows. Working under the supervision of Dr Elena Marensi
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include experience in scientific programming and data computing, signal processing, statistical analysis. Knowledge of mathematical methods and numerical analysis are an asset. The candidate will be asked
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recruits enthusiastic students from across physical sciences, mathematics and engineering who enjoy using their mathematical skills and thinking flexibly to solve complex problems. By developing these skills
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The project combines state-of-the-art advanced mathematical tools and numerical simulations to better understand, predict and control pipeline flows for greener transportation and energy. Working
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and local communities. Essential: 1- Bachelor/MSc degree in Mathematics, Biostatistics, health informatics or any computational research degree 2- The student should be proficient in one
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students from across physical sciences, mathematics and engineering who enjoy using their mathematical skills and thinking flexibly to solve complex problems. By developing these skills HetSys trains people
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experience in the areas of computer science, image processing, high performance computing, mathematics, and medicine. Dr Yanda Meng (Computer Vision, Medical Image Analysis, LLM), Prof Aline Villavicencio
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of Discrete Element numerical modelling on idealised granular materials, has led to significant theoretical advances on the mathematical description of fabric anisotropy for monotonic loading. However, the
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should have (or about to receive) a degree in engineering, physics or applied mathematics that is at least a UK 2:1 honours grade or its international equivalents. Previous experience with coding and CFD
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supervisors, access to industrial collaborations and top universities from across the UK and beyond-state-of-the-art technologies. We are recruiting open-minded students from any scientific, mathematical