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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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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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. 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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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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, conducts cutting-edge applied research on sensors and actuators for people and the environment. The competences are based on impressive long-term experience and extensive know-how in the fields
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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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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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electrolysis. As an MSc student, you will design and implement a suite of AI “agents” (autoencoders, statistical models, LSTMs and LLM-based rule engines) that process historical and live sensor data (voltage
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assistance systems Collaboration in the development of AI algorithms (LLM, fine-tuning, RAG, AI agents, embeddings) Literature research on the topic of AI What you bring to the table Studies in
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, micro and nano sensors, and actuators with interfaces for communication. Fraunhofer ENAS develops individual components, the technologies for their production, as well as system concepts and system