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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
work. Some experience in modelling of composite materials. Some experience in programming (Python, Fortran, CUDA or similar). Some experience in fluid mechanics and biomechanics. Personal characteristics
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heat transfer surfaces capable of handling ultra-high heat fluxes. One of the most promising approaches is flow boiling, in which a working fluid circulates over a heated surface and undergoes phase
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to new developments. The candidate will join the System Software Group , and study the performance and scalability characteristics of adapting scientific simulation software to current and future
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. The candidate will join the System Software Group , and study the performance and scalability characteristics of adapting scientific simulation software to current and future supercomputer hardware. The research
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Curious about how dense particle flows defy the usual rules of laminar and turbulent motion? Join our ERC project and use MRI to uncover these flows. Job description Inertial Dense Suspensions (IDeS
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, X-ray tomography, or spectroscopy) This is what we offer you We offer a temporary contract for 38 hours per week for the duration of 4 years (the initial contract will be for a period of 18 months and
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through a proactive, systematic approach • Ability to work in a team as well as independently • Mechanical design as well as analysis of structural and fluid dynamic engineering problems • Fluent
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with a background in fluid mechanics or thermal engineering. Given the scope of the research project, a strong interest in both experimental work and numerical modeling is essential. Familiarity with
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Researcher in experimental soft matter physics. Specifically, the candidate will set up microfluidic triple-phase flows with a liquid crystal elastomer (LCE) precursor as middle phase which is flown either as
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insights into coronary anatomy, blood flow, pressure, and wall shear stress—together with information about model uncertainty—the project aims to support more precise, physiology-guided treatment decisions