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investigation of the aerodynamic performance of advanced future compressor stages, support-ed by numerical modelling and simulations of performance-enhancing design features. In this research project you will be
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international) scientific exchange -Loyal, reliable and committed team -Numerous opportunities for professional and interdisciplinary training (e.g. soft-skill seminars) -Modern working environment and
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international) scientific exchange -Loyal, reliable and committed team -Numerous opportunities for professional and interdisciplinary training (e.g. soft-skill seminars) -Modern working environment and
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for our clients from numerous industries. Overarching top topics at Fraunhofer ITWM are Machine Learning as well as Artificial Intelligence and Renewable Energies or Sustainability. In addition, Next
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techniques we evaluate the catalyst’s performance. This enables the examination of numerous materials in a short time and thus accelerates the discovery of new materials. The corresponding reaction mechanisms
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determine vent morphology and where organic molecules accumulate. Measurements will inform your numerical simulations of vent remodeling and transport within the vent. Your project is embedded in
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research environment with numerous complementary projects on challenging topics and manifold cooperation opportunities Network of national and international partners for cooperation and research exchanges