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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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resources efficiently. In this PhD project, you will develop mathematical theory and computational methods for the analysis and design of chaotic sampling mechanisms in networked control systems. You will
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Challenge: Extreme water events threaten people and infrastructure Change: Understand impact dynamics with experiments and numerical simulations Impact: Optimize the design of resilient
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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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simulations developed elsewhere in the GreenTE consortium. Correct and improve your mathematical models in close collaboration with experimental biologists, particularly PhD students at Wageningen University
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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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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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PhD: Characterization of subsurface heterogeneity in backward erosion (piping) Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 32 to 40 Application
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PhD position on quantum error correction for photonics. Job description As part of a new European Marie Curie Doctoral Training Network focused on quantum error correction and fault tolerance
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The Mathematical Institute of Leiden University and the Centre for Mathematical Sciences of Lund University have a position for a PhD candidate to join the project "Analysis of Inhomogeneous Wave