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applied electroacoustics and audio engineering, AI-based signal analysis and machine learning, and data privacy and security. At the headquarters, on the campus of “Technische Universität Ilmenau
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applied electroacoustics and audio engineering, AI-based signal analysis and machine learning, and data privacy and security. At the headquarters, on the campus of “Technische Universität Ilmenau
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applied electroacoustics and audio engineering, AI-based signal analysis and machine learning, and data privacy and security. At the headquarters, on the campus of “Technische Universität Ilmenau
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professional environment after their training/scholarship Further information Application requirements What requirements must be met? The Typical Scholarship Holder works either for a public authority or a state
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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is
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with cell culture is beneficial but not required. Basic skills in data analysis and processing using standard software tools Ideally, good communication skills in both German and English You enjoy
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provide corresponding debugging and/or performance analysis, document ICON model usage and workflows within MOD, as well as develop and extend in-house climate data processing and visualization software
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education campus hosts various institutions from university and non-university research and development, collaborating in a unique environment to develop data-driven technologies and smart applications
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. We work in our own laboratory with the most modern laser systems and more than 30 different beam sources. You can find more information about our work topics in here . For our groups "laser process
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professional performance. Data Protection Information: When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information