868 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs in Germany
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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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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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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
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track record in the following areas: Experimental phonetics, in particular speech production and perception Combination of basic research and language technology Cognition and human speech processing
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to create a space where scientific discovery in cancer research is transformed into benefits for human health. The Division of Soft-Tissue Sarcoma at DKFZ applies cutting-edge technology to study and dissect
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 13 days ago
beyond the reach of state of the art approaches. Working at the interface of physics, biology, chemistry, and engineering, you will design and build innovative imaging instrumentation and analysis
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Mechanical Engineering, Computer Science, Mechatronics or a comparable subject Solid background in programming (e.g., Python or C++) is essential Experience with machining processes or ML approaches
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Developing innovative technology solutions and bringing them to application - that is our goal at the Fraunhofer Institute for Photonic Microsystems IPMS . With our expertise in the development
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Description BioHYBRITE (Decoding and designing biomolecular systems with hybrid DNA:RNA:protein nanotechnology) is funded by the Marie Skłodowska‑Curie Actions (MSCA) Doctoral Networks programme and