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learning, with a particular focus on differential equation-driven frameworks. The research will be fundamentally oriented, and the overall mission is to develop computationally efficient and statistically
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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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to solve the resulting differential equations. The team has a healthy portfolio of PhD positions and close collaborations with industrial partners. It consists of four full FTEs at Eindhoven University
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based on Partial Differential Equations (PDEs) to represent the coupled dynamics of roots, mycorrhizal fungi and soil resources under varying environmental conditions. The work will integrate concepts
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work assignments A wide variety of physical phenomena like radio transmission, ultrasound, acoustics, or tsunami modelling involve the solution of partial differential equations (PDEs) that model wave
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in linear and nonlinear Partial Differential Equations and/or Fluid Mechanics Capability of working within a project team with the goal of achieving outstanding results. Good communication and
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, differential equations, geometry/topology, numerical analysis, optimization, and statistics. Part of the research is also carried out in close cooperation with other fields of science and technology at NTNU, as
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oral and written presentation skills in English equivalent to level B2 . Knowledge of applied mathematical modeling, in particular numerical solution of partial differential equations. Experience with
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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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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