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biology) through interdisciplinary research activities. As part of the strategic development of the Collaborative Research Center (CRC 1664), we are seeking an outstanding scientist who will make
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-data management of the Cluster of Excellence. We envision the development of a next-generation data management strategy with seamless reproducibility from field data acquisition to model-based analysis
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Intelligence and is looking for a student research assistant to strengthen scientific activities in the context of interdisciplinary cooperation. In the AML working group, we are researching and developing new
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approaches specifically tailored for these low-data applications that are reliable and robust against noise. You will support our team in developing reliable machine learning methods that can be applied
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molecular biology, train scientists and students at all levels, provide essential services to both public and private sectors, develop innovative technologies and methods, and foster active technology
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, LERF, etc.). What you will do The thesis consists of developing a language interface enabling AI-Agents to interact with and annotate such models. This can either be using a deterministic approach or
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the instrument Instrumentation, development, and research activities Data analysis and publication of scientific results Requirements PhD degree in physics or a related science field Research background in
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source of inspiration for innovative developments and scientific excellence, it contributes to shaping our society and our future. For over 35 years, the Fraunhofer Institute for Production Systems and
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At the Fraunhofer Institute for Laser Technology ILT, we may not be developing swords against the dark side of the Force, but our developments often sound like science fiction. This is because we
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Your Job: In this position, you will be an active part of our AI Consulting Team. Together with our partners, we develop new and innovative applications of Machine Learning. You will connect