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tasks will be to: Develop numerical/analytical models to study interior fluid dynamics within rigid and flexible containers, e.g., liquid CO2 tanks and closed fish cages, and compare with experiments by
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substantial knowledge and research experience in areas such as computational fluid dynamics, turbulence modeling, data-driven methodologies, machine learning, and parallel computing. The candidate should also
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substantial knowledge and research experience in areas such as computational fluid dynamics, turbulence modeling, data-driven methodologies, machine learning, and parallel computing. The candidate should also
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engineering, dynamics and process regulation, process and facility planning, unit operations, heat transmission, fluid mechanics and applied thermodynamics. The Department enjoys very close relations with
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research area: Python or C#, robotics, additive manufacturing, finite element analysis, or computational fluid dynamics. Experience in teaching and co-supervising thesis students at university level
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and Biochemical Engineering our research is built on the technological core subjects and engineering scientific disciplines. Our research covers separation processes, reaction engineering, dynamics and
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DynaMIT project, which aims to explain how Earth's atmosphere is dynamically coupled to space. The project integrates high-resolution observations with new simulations based on first-principles fluid