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integration technologies and transfers them into practical use. Fraunhofer ENAS accompanies customer projects from the idea to the design, technology development, or implementation using existing technologies
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of engineers, microbiologists, and biotechnologists. Our group pioneers biotechnological platforms that connect microbial processes to future industrial applications while uncovering fundamental principles
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of compact and robust diode laser modules for quantum technology applications, including quantum computers and space-based quantum sensors. For these research activities, we are looking for a Scientific
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Design Technology in Berlin has stood for excellence in production science. We are dedicated to bridging the gap between science and practice in the field of industrial production and offer application
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closely with architects, engineers, biologists, and chemists at the University of Stuttgart and the University of Freiburg. The research focuses on the conception, development, and evaluation of bio
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Description Gen-Q is a doctoral training programme set up by Eucor – The European Campus EGTC. In its 2nd call, it provides 8 doctoral positions with an international, interdisciplinary and
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based on machine learning. Reference number 08/26 Your tasks 1. Assessment and analysis of GaN technology characterization data Identification of outliers during testing, with and without machine learning
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What you contribute You are studying a technical or scientific degree program such as mechanical engineering, materials science, or computer science You are interested in technical problems in
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The Fraunhofer Institute for Digital Media Technology IDMT is part of the Fraunhofer-Gesellschaft. Headquartered on the campus of Technische Universität Ilmenau in Ilmenau, Thuringia, the institute
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Computational Engineering, Computer Science, Biomedical Engineering, Data Science, or comparable Programming skills, preferably in Python and JavaScript Experience of SQL and relational databases Basic experience