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engineering, computer science or a comparable subject You have good experience in Python You have basic knowledge of the theory and methods in machine learning Good language skills in German and/or English What
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subsequent PhD in computer science, engineering, biophysics, applied mathematics, computational biology or a related field Proven programming expertise in Python (PyTorch, scientific Python) with solid
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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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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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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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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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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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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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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