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of transportation and energy. Its experimental and numerical modeling activities focus on various complex and multiphysical flows, including turbulence, two-phase flows, combustion, and thermoacoustics. Research
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numerous and varied, depending on your background and interests. We envision a first thesis chapter which builds a comparative database of food transit times across primates of various sizes with different
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used to advance root phenotyping and soil functions. Soil-root interactions will be analyzed across management scenarios using geophysics and numerical modeling. High-resolution subsoil characterization
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relevant for wafer handling. Silicon is a very complex material, undergoing multiple phase transformation, with some phases showing extensive plastic deformation, during mechanical loading and contact
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-related concept proposed by Robert Zubrin) or the solar-wind ion focusing thruster. Starting from first-principles and mathematical models, more advanced numerical tools shall be developed to explore
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of Artificial intelligence, Machine learning, Numerical simulation, Formal verification. Such methods include, among the others: AI-guided simulation of the mathematical models of the patho-physiology and PK/PD
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to related fields such as contaminant transport, geothermal systems, and mineral recovery. The ideal candidate will hold A strong background in CFD and/or DEM, A strong numerical background with proficient
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their operational reliability. The PhD student will combine mathematical models, in-house laboratory tests in a wind-wave-current flume (https://research.ncl.ac.uk/amh/ ) and numerical methodology to quantify
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-related concept proposed by Robert Zubrin) or the solar-wind ion focusing thruster. Starting from first-principles and mathematical models, more advanced numerical tools shall be developed to explore
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, and mitigation. Urban canyons significantly alter wind flow and temperature distribution, creating strong gradients and turbulence above and between buildings. These phenomena lead to multiple