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will be combined with theoretical modelling, statistical data analysis, and numerical simulations to identify the governing mechanisms and to determine whether and how proximity to a phase transition
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an SEM. The project combines theoretical modelling, numerical simulations, hardware development, precision engineering, and experimental validation, providing a unique opportunity to contribute
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interest in cell and developmental biology of plants; Experience in (numerical) mathematical modeling (e.g., vertex-based or Cellular Potts modeling, particle-based simulations, PDEs, FBA); Suitable
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modeling, construction of numerical methods, coding, testing, numerical simulations, and possibly measurements. You will mainly do your programming work in a mixed programming environment, i.e. combining
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suitable learning schemes, and design control policies accordingly. You will use large-scale optimization for the implementation of the obtained results, first using high-fidelity numerical simulations
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vision, numerical analysis and computing as well as probability and statistics. What you bring Master’s degree in mathematics or equivalent, including a solid background in analysis, dynamical systems, and
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of Science Technology and Medicine and Atelier Franck Boutté), you will couple advanced microclimatic and urban morphology simulations with epidemiological data to quantify heat-health benefits. As our PhD
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boils), and used in 3D groundwater flow simulations to predict BEP potential occurrence spatially. For this you can draw on the Dept. of Physical Geography’s unique expertise on geomorphology, geology and
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-specific errors. Some of the work will involve extending tools and concepts of circuit-based quantum error correction to fusion-based computation, using ZX calculus. The aim is to design, numerically
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, MATLAB, or similar. Experience with numerical modelling and simulation, preferably using finite element (FE) and/or multibody dynamics (MBD) approaches. Ability to collaborate effectively with academic