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Research Clusters exploring the depth and breadth of Pure Mathematics , Applied Mathematics and Theoretical Physics , and Mathematical and Statistical Modelling . Applicants are invited to e-mail the
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planning, student intake forecasting, tuition fee setting and new programme financial viability assessments. This involves collaborating with other professional services teams, analysing complex information
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demonstrate good knowledge of mathematics, numerical modelling, fluid dynamics and signal processing and be a proficient user of a programming language, e.g. Python or Matlab. Main duties and responsibilities
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upper second class honours degree in chemical engineering, mathematics, physics or a related technical subject. The ideal candidate should possess: ● Experience in computational modelling. ● A
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characterisation equipment at the University of Sheffield. There may also be opportunities to learn and apply computational methods such as process simulation using Population Balance Modelling, DEM simulations and
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Modelling Neutrino Interactions for Next Generation Neutrino Experiments School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Patrick Stowell Application Deadline
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A search for pharmacological inhibitors of a cancer-associated adhesion GPCR in the zebrafish embryo
are seeking a motivated student with interests in developmental biology, disease modelling and drug discovery. This interdisciplinary project combines both wet bench work and computational work (bioinformatics
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Overview An exciting opportunity for a Research Associate exists within the Multiscale Materials Informatics and Innovation (M2i2) research group, led by Professor Hector Basoalto, at the University
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Details The project will advance the accuracy of Computational Fluid Dynamics (CFD) models employed for predicting boiling heat transfer and particularly the Critical Heat Flux (CHF) in nuclear Pressurized
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will combine the above-mentioned techniques to characterise the mechanical competence of paediatric bones and to provide a unique dataset to inform and validate computational models that aim