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at tunable temperature and photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning, and theoretical
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the controlled flow at tunable temperature and photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning
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project offers a unique opportunity to develop autonomous microswimmers, which are bioinspired structures at the micrometre scale that can propel themselves through fluids, mimicking natural swimming
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development of special phase field and phase field crystal models coupling newly developed approaches with established approaches for simulating e.g. mechanical properties and the flow of fluids implementation
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, clothing, and skin (and body), including convection, radiation, and conduction in materials. Your profile Completed Master`s degree in mechanical engineering Proven experience in continuum modeling (finite
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engineering, food engineering, mechanical engineering, or related discipline. Good team working, observational and communication skills are essential with the ability to work independently and as a member of a
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Research theme: Fluid Mechanics, Machine Learning, Ocean Waves, Ocean Environment, Renewable Energy, Nonlinear Systems How to apply: How many positions: 1 Funding will cover UK tuition fees and tax
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scientific advice of the highest quality within building design and processes, building construction and safety, building energy and installation, solid mechanics, fluid mechanics, materials technology
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in viscous fluid mechanics, numerical methods and applied mathematics. The research project will be supervised by Prof. Pierre Ricco. Funding: The studentship is available only for UK citizens due to
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EPSRC iCASE PhD studentship with SLB - Computational modelling of advanced geothermal systems School of Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded UK Students