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Field
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computational fluid dynamics. • Experience in modeling, uncertainty quantification, or statistical methods. • Experience in data science or machine learning is considered an asset. • Experience with high
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Mismatching and Shear Strength This project will examine fluid flow through rock discontinuities and the effects of discontinuity mismatching on shear strength. The research will combine experimental
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without building strong evidence that the new method is safe and effective. Wind tunnel experiments of new concepts may be considered, but because of scaling, the involved physical time scales typically
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. Demonstrated research experience in climate, oceanography, the cryosphere, or atmospheric science. Interest in the intersection of solid/fluid mechanics. Experience working with the Julia programming language is
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particular focus will be on exploiting the extensive experimental data generated within the HKN project, including measurements from wind-tunnel experiments and full-scale offshore wind turbines. These data
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and acts itself as a fluid at the liquid metal-plasma interface. We have recently developed a new flowing liquid metal experiment which will explore this regime as part of our Liquid Metal Shield
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biochemistry Knowledge of methods of molecular biology, biochemistry Experience in biophysical and electrochemical methods Language requirements: English, level B2 or higher Employee benefits: 25 days annual
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explore how geometry, wettability, and fluid properties can be harnessed to achieve passive and energy-efficient liquid manipulation. The candidate will combine experiments and theoretical analysis
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on soft matter physics and/or chemistry with good scores Experience in research on liquid crystals, elastomers and/or microfluidics Having taken courses on continuum/fluid mechanics with good scores
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philosophy and/or social studies of science and technology. The position is part of the Horizon MSCA Doctoral Network “Towards sustainable computational fluid dynamics” coordinated by the Institut National