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different mixing and reactive properties compared to conventional fuels. In this project, turbulent mixing and combustion of hydrogen in air will be studied through optical experiments and numerical modelling
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, vortex matter, matter at ultra-high pressure, diagrammatic Monte-Carlo. We are interested in analytical and numerical approaches to fermionic and bosonic states. Examples of one of the directions in our
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numerical methods used to design wind turbines and understand turbulent combustion in jet engines, this research aims to address critical computational challenges in simulating the physical dynamics
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application! Work assignments The Division of Automatic Control at the Department of Electrical Engineering has a vacant post-doctoral position in the area of numerical methods for motion planning and
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finite-element simulation and topological optimization of light guidance in HCFs, and numerical simulation of thermo- and fluid dynamics under fiber-drawing processes. Apart from the main tasks above, the
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mechanics, numerical methods, microstructural mechanics, structural optimization, and experimental methods. The department also has strong activity in X-ray and neutron methods for materials research. Project
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to reduce the complexity in simulating lake physical dynamics at scale. Borrowing from numerical methods used to design wind turbines and understand turbulent combustion in jet engines, this research aims
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Postdoctoral position in fabrication of hollow-core optical fibers for next-generation communication
if interest arises: numerical simulation of thermo- and fluid dynamics under fiber-drawing processes. HCF fabrication will be carried out at RISE Fiberlab (Hudiksvall), one of the leading specialty
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propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biomathematics, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large
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of the project Bacteria are constantly predated by viruses, bacteriophages. To resist predation, bacteria employ numerous antiphage defence systems, with the most famous being CRISPR-Cas. In our lab we discover