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the research team around Univ.-Prof. Dr. Philipp Grohs. Our ideal candidate has a strong interest in Applied Mathematics, possesses solid and profound background knowledge in Numerical Analysis, Approximation
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-reviewed journals, commensurate with stage of career Research skills or potential at an international level. Excellent track record of research in active matter or in the direct numerical simulations
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numerical screens of putative reaction-diffusion circuits, and (iii) studying specific biological systems in close collaboration with experimentalists to guide our models. The successful candidate will join
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Assistant (Postdoc) to join the research team led by Univ. Prof. Olga Mula. Our group’s work sits at the forefront of numerical analysis for Partial Differential Equations, enriched with data-driven
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and leading a programme of numerical simulations relating to all aspects of our research on P-MoPAs; using particle-in-cell computer codes hosted on local and national high-performance computing
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to apply. The position will be under the direction of Professor Anthony Yeates and will primarily involve optimisation of a numerical magnetic field model for the global solar magnetic field against
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of this position within the team is the experimental work on decontamination of porous materials, although it is also expected that the successful candidate will contribute strongly to the analytical and numerical
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Sciences Institute https://www.dur.ac.uk/bsi/, which act as cross-campus focal points for activity in this area. These also embed strategic links to numerous companies with interests in soft matter
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“LAHAR-MM: An integrated approach to LAhar Hazard Assessment and eaRly warning using geophysical Monitoring and numerical Modelling”. This project will investigate the characteristics and flow behaviour
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out research work, analytically and numerically, jointly with the co-investigator and the project research team in the area of inference, information build-up and learning methods in the general context