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Field
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. A good knowledge and/or experience in heat transfer is essential, as is the ability to work well in a team. Prior experience in the areas of computational fluid dynamics, chemistry, machine learning
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must have a professionally relevant background in Applied/Numerical Mathematics, Physics, Fluid Mechanics with a solid education in numerical methods for solving partial differential equations. Master
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(for plasma catalysis). Computational fluid dynamics & kinetic modelling for process improvement and smart reactor design. You will publish scientific articles related to the research project. You will carry
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. Required selection criteria You must have a professionally relevant background in Applied/Numerical Mathematics, Physics, Fluid Mechanics with a solid education in numerical methods for solving partial
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host the PhD position. The topic of the PhD fellowship is at the interface of numerical mathematics, fluid mechanics, and ecology. A successful candidate will be offered a three-year position, which
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fellowship is at the interface of numerical mathematics, fluid mechanics, and ecology. A successful candidate will be offered a three-year position, which could potentially be extended with teaching duties
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interdisciplinary research to join a collaborative project between the Precision Therapeutics group (Dr. Alina Rwei) in the Department of Chemical Engineering and the Complex Fluid Processing group (Prof. Johan
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(up to few months). To be considered, you will have: An MSc in Mechanical Engineering, Aerospace Engineering or a closely related field. Strong foundations in thermodynamics , fluid mechanics and heat
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is wanting to hear about topics like entropy, statistical physics, fluid mechanics, phase transitions, non-linear dynamics and chaos! Liver Organoid Breakthrough Exciting news from the Huch lab
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in challenging environments. As a PhD candidate, you will develop and integrate high-fidelity simulation tools for neutron transport, thermo-hydraulics, computational fluid dynamics and fuel