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. Landslides are complex, gravity-driven flows that exhibit both solid-like and fluid-like behaviour, and their accurate prediction is essential for natural-hazard assessment and risk mitigation. The project
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. The simplicity of their design contrasts with the complexity of the physical phenomena involved. Plasma propagates via an ionization wave mechanism. The front of this wave concentrates a high density of hot
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. The simplicity of their design contrasts with the complexity of the physical phenomena involved. Plasma propagates via an ionization wave mechanism. The front of this wave concentrates a high density of hot
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major hazard for these light and agile vehicles comes from short-term microclimatic effects such as turbulence, which are amplified in urban environments with complex obstacles and rapidly changing wind
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7274) is a joint unit of the CNRS and the University of Lorraine, created on 1 January 2010 and based in Nancy. Its general scientific objective is to study processes in their entirety and complexity
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Lecturer in Energy Systems and Engineered Fluids Apply online Job number SST00274 School / Service School of Science & Technology Department Department of Engineering Location Tait Building Contract
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long-term performance of offshore wind energy installations. The task to be carried out will be: Simulate fluid-structure interactions for offshore wind turbine platforms, accounting for complex
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of these phenomena is complex, as it is inherently a multi-physics problem: fluid dynamics, fluid-structure interaction, thermal/thermodynamic aspects, with close links to spacecraft dynamics. As an intern, you will
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 1 day ago
responses in peripheral blood, cerebrospinal fluid, and brain tissue from central nervous system disease patients, alongside extensive single-cell platform data Present your research at international meetings
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, you will be an active member of the SDL “Fluids & Solids Engineering” and will collaborate strongly with the SDL “Applied Machine Learning”. You will have the following tasks: You will work together