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PhD candidate, you will develop new analytical theories and methods for complex systems of partial differential equations and apply them to models for marine biofilm growth. Join a stimulating research
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/Qualifications - Automation or applied mathematics background, with a strong interest in physical models and numerical method - Analysis of partial differential equations, variational approach, Bayesian estimation
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electro-optic devices, notably the multi-billion dollar liquid crystal display industry. The mathematics of LCs is very rich and cuts across analysis, topology, mechanics, partial differential equations and
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trustworthy mathematical models that are calibrated to measurement data. We are motivated by applications in engineering in which the system models are partial differential equations (PDEs) with potentially
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partial differential equations arising in the context of interacting species study of interaction systems with applications to developmental biology, such as pattern formation and tissue growth teaching
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on the analysis and simulation of nonlinear partial differential equations arising in the context of interacting species study of interaction systems with applications to developmental biology, such as pattern
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English. The PhD must have involved numerical modelling. It is desirable to have documented knowledge from their university education in: Mathematics, especially differential equations. Numerical methods
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of applied mathematical modelling, in particular numerical solution of partial differential equations Experience with one or more relevant programming languages/tools (Python, C, Matlab, OpenFOAM etc.) PLEASE
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English language. Good theoretical background in electrochemistry and electrochemical processes Knowledge of applied mathematical modelling, in particular numerical solution of partial differential equations
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their university education in: Mathematics, especially differential equations. Numerical methods and/or computer programming. Cloud physicsIt will be advantageous if the applicant is experienced with modeling