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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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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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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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? You have some experience in research and are familiar with maritime navigation or optimization algorithms? Great! You also have solid Python skills and enjoy working analytically and documenting your
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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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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 to understand
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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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. This collaborative project between the Quantitative Biosciences Institute at the University of California, San Francisco (QBI-UCSF) and Freie Universität Berlin, funded by the Einstein Foundation Berlin, aims not only
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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 In our Trustworthy Digital Health group
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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