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‑stationary atmospheric conditions involving shear, veer, yaw misalignment, and wake interactions. High‑fidelity CFD methods (RANS/LES) can capture these effects but are too computationally expensive
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. Objectives: Characterize the hydrodynamics of the gas phase in bioreactors at different scales (20Là15m3) CFD simulation of gas/liquid flow using the Eulerian approach (two-fluid model) Comparison between
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are invited for a fully funded Industrial Doctoral Landscape Award in partnership with Siemens Digital Industry Software, focused on advancing the next generation of industrial Computational Fluid Dynamics (CFD
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solar deployment and contribute to the future co location of solar and wind arrays. The studentship offers full training in experimental methods, data analysis (MATLAB), CFD, offshore renewable energy
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mechanisms. In real engines, however, the situation is considerably more complex. The presence of purge flows and tip leakage leads to inlet conditions at the endwalls that differ fundamentally from those
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and investigates acoustic behaviour of different PV technologies when (A) used as roadside noise barriers and (B) integrated into building façades. The project contributes to emerging “green acoustics
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of different PV technologies when (A) used as roadside noise barriers and (B) integrated into building façades. The project contributes to emerging “green acoustics” approaches and opens opportunities
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/simulation/optimization) Build prototypes and research software (clean, reproducible, well-documented) Work with simulation pipelines (e.g., FEM/CFD/physics engines) and industrial data Collaborate with
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-chemical properties similar to conventional kerosene, their combustion behavior can differ significantly, requiring adjustments and optimization of current gas turbines (GT). In this context, numerical
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literature study and CFD modelling with the use of real case-study hydropower projects. Are you motivated to take a step towards a doctorate and open up exciting career opportunities? As a PhD Candidate with