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an extensive safety analysis and calidation of perception algorithms in automotive. Through our work, we lay the foundation for a reliable digital future. What you will do Generative AI opens up new
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developing a machine learning (ML) algorithm for the automated analysis of the above-mentioned mass spectra. Desirable: - knowledge in the field of Planetary Sciences - very good written and spoken English (C1
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study qubit systems. A particular emphasis is on exploiting the manipulation capabilities of scanning probe microscopes to fabricate molecular quantum sensors on probe tips to detect the tiny electric and
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The Fraunhofer Institute for Electronic Nano Systems ENAS is leading in the development of smart systems that combine electronic components, micro and nano sensors and actuators with communication
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algorithms in the field of welding technology. Joining three different metal sheets using resistance spot welding (RSW) presents researchers with challenges. We are tackling these as part of a public research
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" in Ingolstadt, a unique opportunity opens up for you: Explore the potential of sensors, AI, and actuators to revolutionize autonomous flight systems. In close collaboration with leading industry
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learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms
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machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and
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3D integration and flexible electronics. These nano and microtechnologies form the foundation of our diverse fields of expertise, which include sensor technology, circuit design, system solutions with
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, on fundamental aspects of atomic spectroscopy and quantum physics, and will finally learn how to develop a commercial quantum sensor. Your role: Basic research in the theory and experiments with hot