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Federal Institute of Technology Lausanne (EPFL) is seeking two highly motivated Postdoctoral Researchers for a project funded by the Swiss National Science Foundation (SNSF). The project aims to investigate
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) of the following areas: Dynamic analysis of offshore wind turbines under complex environmental loading. Fluid–structure interaction phenomena in offshore wind systems, including instabilities, resonance mechanisms
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resource accumulations (such as natural hydrogen, lithium and copper) result from fluid flow, heat transfer and fluid–rock interactions over geological timescales. In order to understand these systems and
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separation has a long history in globular protein solutions, e.g. in the eye-lens fluid and antibody solutions, which resulted in a number of fundamental and general results not yet available for intrinsically
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researcher with a strong background in air–sea interactions and experimental fluid mechanics, particularly in optical flow visualization techniques. The successful candidate will conduct advanced laboratory
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researcher with a strong background in air–sea interactions and experimental fluid mechanics, particularly in optical flow visualization techniques. The successful candidate will conduct advanced laboratory
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for offshore renewable energy applications. The group specializes in computational modeling of fluid-structure interactions, wave-structure interaction and mooring systems for offshore renewable energies. You
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FieldEngineering » Industrial engineeringEducation LevelPhD or equivalent Skills/Qualifications Technical Skills Numerical computer simulation of fluids and structures and their interaction. Signal processing and
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, e.g. in the eye-lens fluid and antibody solutions, which resulted in a number of fundamental and general results not yet available for intrinsically disordered proteins. Within this postdoctoral project
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dynamics, kinematics, acoustics/vibrations, fluid–structure interaction, control, or other mechanics-driven domains. Experience with applied computational methods and machine-learning–based modeling