-
proficiency in English. Solid knowledge and demonstrable experience in high-performance numerical simulations of turbulent reactive flows, including direct numerical simulation (DNS) and large eddy simulation
-
, including 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
-
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 postdoc can be involved in
-
)* Strong background in computational mechanics and numerical methods Demonstrated experience with LS-DYNA or comparable commercial FEA software Proficiency in Python programming for scientific computing and
-
, Biomedical Engineering, Applied Mechanics, or a closely related field (awarded no more than three years prior to the application deadline)* Strong background in computational mechanics and numerical methods
-
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
-
, 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
-
, single-cell spectroscopy, multicolour fluorescence and numerical modelling. This multidisciplinary approach will significantly advance our understanding about the resilience of coralline algae to projected
-
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
-
propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biomathematics, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large