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. The key responsibilities of this position include: Perform numerical simulation to solve fluid-solid-interaction problems Perform design optimization, especially AI-based generative design Master domain
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required for a series of studies on the glymphatic system - examining the combined effects of genetic, clinical, fluid, and imaging biomarkers on the clinical phenotype in patients with Parkinson’s disease
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equipment • Conduct wind tunnel/water experiments • Conduct computational fluid dynamics (CFD) simulations • Analyze experimental and simulation data and summarize key findings and observations
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of Mechanical, Medical and Process Engineering, Faculty of Engineering. The Artificial Heart Frontiers Program (AHFP) is seeking a highly motivated Mechanical Engineer with a specialisation in Computational Fluid
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equipment • Conduct wind tunnel/water experiments • Conduct computational fluid dynamics (CFD) simulations • Analyze experimental and simulation data and summarize key findings and observations
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observations. You will work in close contact with Professor Rainer Hollerbach in the Department of Applied Mathematics, and will join the Astrophysical and Geophysical Fluid Dynamics research group, which is
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Experience in reactor design is beneficial Experience in process control and PAT Knowledge and interest in closed-loop optimization Experience with Computational Fluid Dynamics Experience with laboratory
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, mechanical engineering, or related subject with a record of publishing in high-quality journals. Good skills in applied Computational Fluid Dynamics (CFD) methods and proven experience of leading research
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for the research group: • Conduct CCS related experimental studies to obtain rock properties, evaluate rock/fluids interactions, and obtain results to be use in the development of CO2 storage site(s). • Use
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by combining genomics, fluid biomarkers and advanced neuroimaging and 3) to identify novel targets for diagnostic applications and therapeutic intervention. Fellows will work on research problems