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Field
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studying mechanical engineering, computer science, industrial engineering or a comparable subject Experience in the field of machine learning is an advantage A high degree of initiative and team spirit Very
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mechanical engineering, computer science, materials science or a comparable subject and fulfil the following requirements: • Motivation to explore scientific challenges • Previous experience with Comsol
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technologies and develop algorithms and software tools dedicated to accelerating research on multiple levels. We are working at the intersection of computer science, physics, and material science to push the
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Learning algorithms for EDA in terms of Computational Complexity, Performance Scores, etc. To learn more about our previous work, please check out our website ( www.cda.cit.tum.de/research/machine_learning
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and proximity to the state capital Erfurt attractive savings opportunities with numerous corporate partners as part of the Fraunhofer Corporate Benefits Program We value and promote the diversity of our
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simulators (on various abstraction levels using, e.g., Computational Fluid Dynamics) which enables us to verify designs of microfluidic devices even before the first prototype is fabricated. Fabrication: We
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available in the further tabs (e.g. “Application requirements”). Programme Description BAföG, the Federal Training Assistance Act, provides funding to support studying in Germany. It can also be used
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Future. Discover. Together. The Fraunhofer Heinrich Hertz Institute (HHI) is one of the world's leading research institutes for mobile and stationary communication networks and for the key technologies of the future. We have consistently aligned our areas of competence to current and future...