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plant at a SIT Punggol campus Assist in carrying out of experiment, data logging and analysis of data collected. Work with computational fluid dynamics (CFD) results generated by an expert to correlate
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 7 days ago
and measurement techniques to provide a consistent hydrodynamic validation dataset for flotation-cell CFD studies carried out by collaborating researchers Your profile # Completed university studies
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the pulsed electric field so that all microalgae in the solution receive the electric field for equal durations. The aim is to continue the numerical study (CFD) already undertaken in this field to find
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to the application deadline Hands-on experience with cleanroom fabrication techniques or precision manufacturing. Experience with CAD design and numerical simulation tools (e.g., CFD). Experience in 3D printing
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to carry out high-performance numerical simulations using our in-house CFD code, extract physical insights from simplified flow models, and characterise synchronisation thresholds and the robustness
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digital twin computational modelling or simulation (CFD, Abacus and/or COMSOL) Strong experimental skills and ability to work in a laboratory environment. Excellent communication skills and a collaborative
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to develop complement/augment classical CFD methods with quantum algorithms/techniques. The work lies at the intersection of multiphase flow physics, numerical modeling, and quantum computing. Who we
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collaborators. Under this job title, you will develop a CFD modelling platform to evaluate the combustion, flammable and toxic gases emission and dispersion characteristics resulted from battery fires/thermal
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measurements. Desirable Interview / Application Experience of CFD of reacting flow. Desirable Interview / Application Further Information Grade 7 Salary £38,784 - £47,389 Work arrangement Full-time Duration 01
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applications. The project integrates: Computational Fluid Dynamics (CFD) and multiphase flow modeling Radiative heat transfer Machine learning and reduced-order modeling Data-driven optimization for industrial