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at Radboud University (Nijmegen, Netherlands) is seeking a PhD candidate with a strong background in the analysis of partial differential equations. The project will be supervised by Dr Stefanie Sonner, is
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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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mathematics, physics, or electronics and telecommunications engineering. Experience in any of the following areas is advantageous: computational electromagnetics, partial differential equations, boundary
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skills to model and design optical systems for sustainable high-tech devices for billions of people? Do you like to develop and analyze numerical methods for partial differential equations? Information
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Research Project (IRP) Problem Definition: Linking trajectory optimisation with disciplinary-specific numerical tools can result in numerical system that cannot be defined by ordinary differential equations
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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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/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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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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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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differential equations relevant to computational fluid dynamics. These efforts might include Bayesian physics-informed neural networks and neural operators. Bayesian neural networks for approximating piecewise