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Ultrasound sensors for quantitatively measuring the viscosity of flows. Job description Continuous, non-invasive measurements of fluid properties are instrumental in factories that produce food
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intensification, dynamic operation, and resource recovery. The project combines modelling, pilot-scale experimentation, and techno-economic assessment to establish MECs as viable unit operations within next
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incorporation of essential safety functions directly into energy-efficient hydraulic system architectures. Integrating these functionalities without compromising system efficiency or dynamic performance
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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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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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, machine learning, molecular dynamics, and fluid mechanics. We aim to understand how chemical structure of precursors and process conditions affect film quality, helping design better materials and
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increase local damage. In addition to numerical research, the PhD candidate will contribute to experimental investigations of geomaterials subjected to high strain rates. Laboratory testing will be used
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fluid dynamics) Course organisation The curriculum of the IMPRS SusMet contains several scientific and non-scientific elements and a close supervision. The elements of the curriculum bring the community
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increase local damage. In addition to numerical research, the PhD candidate will contribute to experimental investigations of geomaterials subjected to high strain rates. Laboratory testing will be used
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or experimentally test the vein network dynamics of our model organism Physarum polycephalum. Your findings pave the way for control of vein network architecture and their function. Requirements As a suitable