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Good knowledge of AI and applied Machine Learning Hands-on experience with High Performance Computing Systems Basic knowledge of System Architecture of Supercomputers and NVidia-GPUs Practical experience
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basic research with knowledge transfer to the public, the media and policymakers. Since 2009, PRIF has been a member of the Leibniz Association, a national umbrella organization of outstanding non
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: A qualifying university master’s degree in physics, engineering, meteorology, or a comparable field. Knowledge of fluid dynamics or nonlinear systems Experience in programming with Matlab or Python
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(university diploma or master's degree) in the field of geosciences, engineering or physics. Ideally, you have knowledge of numerical methods and experience with common programming languages (e.g. Matlab
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postgraduate-doctoral program submit an education cerificate instead of the graduation certificate) Certificate of knowledge of German or English language - Englisch: IELTS (5,5) / TOEFL iBT (80) - German: DSH
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numerical and experimental aspects, profound knowledge of control engineering, preferably with experimental experience, extensive experience in programming with at least Matlab or Python, high motivation and
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which NC machines are programmed for material removal. Considerable expert knowledge is required for the necessary selection of suitable production tools and the definition of tool movements
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fundamental knowledge about the handling and capturing of flow behavior in multistage compressors. The collaborative frame with a prestigious industry partner will give insight to future technology requirements
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from a university with a focus on aerospace, physics, or related fields • Very good and fundamental knowledge in the areas of theoretical fluid mechanics and structural mechanics, as well as aero-thermal