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that the master's degree has been awarded. Programming skills, e.g., Fortran or C++, is a requirement. Competence in the theory of the finite element method is an advantage. Competence in the theory
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knowledge of numerical modelling using the Finite Element Method/Boundary Element Method. Excellent communication and teamwork skills. Informal enquiries can be made to Dr Felix Langfeldt: F.Langfeldt
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) modelling and simulation. Numerical methods for ordinary differential equations (ODE). -Epidemic modelling and control. LevelExcellent Research FieldComputer science Additional Information Benefits
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scientists, and we put emphasis on communicating our research to decision-makers and a wider audience. Our methods include global and regional modeling of human and natural systems, the use of observational
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at different levels of biological realism, the design of analytical and numerical methods to study these models, and the analysis of data collected in the laboratory of our experimental collaborator David
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of research. These include: Computational physics, including statistical mechanics, biophysics, fluid mechanics, quantum physics, and molecular dynamics Numerical methods for partial differential equations and
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this will involve the development of novel ML/DL methods which leverage both computational and experimental data. Candidates should also have experience of numerical modelling (e.g. CFD and FEA), working as
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Element Method (DEM), to analyse and predict pharmaceutical tablet disintegration. The goal is to construct robust, physics-based simulations that deepen the understanding of the underlying processes and
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candidate will be affiliated with the research group in mathematics education at the department, which for many years has been a leading research environment nationally and has numerous international
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innovative complementary methods for integration in the geothermal models Contribute to selected other test cases within Equip-G Publication of scientific results and participation in scientific conferences