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PhD studentship in the Groups “Numerical Analysis and Scientific Computing” and “Mathematics Applied to Biology” at the University of Sussex (UK). PhD project Statistical inference has proved to be
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relevant stakeholders. The requirements are used to design a novel domain-specific ontology that mathematically captures relevant worker characteristics and their relations regarding employee competencies
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analysis and handling (HPC) mathematical dynamical systems theory This project is supervised by Dr Alexander Wittig and hosted at the University of Southampton with funding from the US Airforce Office of
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application will receive fair consideration. Challenge. Change. Impact! The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined
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materials, has led to significant theoretical advances on the mathematical description of fabric anisotropy for monotonic loading. However, the quantification of fabric anisotropy during cyclic loading is
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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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, Chemistry, Applied Mathematics, or a related field. Why Choose Us? Funded PhD at the standard EPSRC rate covering fees and bursary. Funding is only available to cover the level of fees set for UK applicants
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/or Python) Ability to work effectively with data and applied statistics Knowledge of power systems or mathematical optimization is appreciated Ability to work in a project team and take responsibility
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about making such a platform effective by using mathematical modelling and simulation together with a consortium of universities and industrial partners? Then this PhD position might be what you have been
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sharing in digital platforms can help achieve CO2 emission reductions while better matching supply and demand? Are you enthusiastic about making such a platform effective by using mathematical modelling and