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://physics.aalto.fi/smw . Your experience and ambitions We offer a hands-on, multidisciplinary research environment combining experimental surface physics, nanotechnology, and fluid dynamics. In return, we are looking
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computational modelling of droplet freezing dynamics, the doctoral project will contribute to the network’s overarching mission of developing next-generation biomaterials and tissue engineering strategies
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Science (or similar) with a strong background in fluid mechanics. You have theoretical and applied knowledge or interest in programming, computational science, and computational modelling of complex
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MITIME Network brings the following benefits: A prestigious PhD position within a dynamic network of universities and societal partners in migration and urban studies. A comprehensive training programme
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of Motivation in which in particular also your prior experience(s) with relevance to the position (arcs, fluid-dynamics, thermodynamics, ..) are explained Meaningful CV Transcripts of all obtained
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& Competencies: Familiarity with computational fluid dynamics and ability to design mechanical and microfluidic components Strong expertise in cell culture and molecular biology techniques Experience in
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continuum modeling (finite element modeling, computational fluid dynamics), and proven experience with COMSOL Multiphysics. Knowledge of heat and mass transport processes in heat-sensitive materials and
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rheology, fluid dynamics or bioprocess engineering, and a strong desire for multi-disciplinary work. The candidates should be fluent in written and spoken English, enjoy working within the interface between
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, chemical engineering, environmental engineering or biotechnology with a strong background in rheology, fluid dynamics or bioprocess engineering, and a strong desire for multi-disciplinary work
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capture technologies. In this project, you will: Develop a 3D Digital Model: Create an advanced computational model of high-pressure mechanical seals. Apply Computational Fluid Dynamics (CFD): Simulate gas