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this post within soft condensed matter, we are keen to hear from candidates with track records in the general areas of soft matter physics, including solid-liquid interfaces, rheology, fluid dynamics across
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cutting-edge image-based multiphysics modelling of cardiovascular fluid dynamics and device-tissue interactions. You will work with clinical and experimental data to develop innovative geometric deep
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laboratories for Electronics, Robotics (XX and two ABB robots), GANT computer-integrated manufacturing demonstrator, dynamics & vibration laboratory and more. We also have a state-of-the-art virtual reality
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are experts in cutting-edge image-based multiphysics modelling of cardiovascular fluid dynamics and device-tissue interactions. You will work with clinical and experimental data to develop innovative geometric
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Association. WIAS invites applications for a Research Assistant Position (f/m/d) (Ref. 25/13) in the Research Group “Numerical Mathematics and Scientific Computing” (Head: Prof. Dr. V. John) starting November 1
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numerical fluid mechanics, scientific computing, or model-order reduction, who is willing to engage in innovative and interdisciplinary research questions. The successful candidate will also have the
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internationally recognised for its expertise in computational fluid dynamics (CFD), multiphase and multiphysics flow, and nonlinear solid mechanics, supported by access to world-class high-performance computing
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at the micrometre scale that can propel themselves through fluids, mimicking natural swimming organisms such as bacterial forms. Using biological building blocks found in cells and encapsulating them inside vesicles
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and beyond the call of duty in a changing work environment and whose career objectives include being a member of a dynamic and growing institution that has a vision to expand its services and increase
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the supervisor Qualifications A recent PhD in Mechanical Engineering or a related field, focusing on Thermofluids Experience in Numerical Simulation (Finite Element Analysis and/or Computational Fluid Dynamics