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validation in simulation or on a real robot What you contribute Currently enrolled at a German college or university Proficiency in C++/Python Experience with ROS, image processing, point cloud processing
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related field Basic understanding of power-system dynamics, stability, and inverter-based resources Experience or familiarity with DIgSILENT PowerFactory, PSCAD, PowerDynamics.jl, or Python Analytical and
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, e.g., in Python or Java Excellent written and spoken German and English Willingness to develop new methods and prepare results for publication What we offer A varied and exciting role
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The Fraunhofer-Gesellschaft (www.fraunhofer.com ) currently operates 76 institutes and research institutions throughout Germany and is the world’s leading applied research organization. Around
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in Python and deep learning frameworks (PyTorch or TensorFlow), or a strong willingness to learn. Interest in geometric deep learning and the physics of fluid dynamics, or a strong willingness to learn
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University (NTU). Fraunhofer-Gesellschaft (www.fraunhofer.de) is one of the world’s leading applied research organizations with around 30,800 employees, predominantly scientists and engineers in Germany. In
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. Ideally, you have already worked with reference management software. Initial experience with Python, R or Origin, as well as with academic databases and search engines such as Scopus, Web of Science or
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to an applied research project with real-world deployment context. What you contribute Essential • Strong Python programming skills and good software engineering practices (modular design, version control
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/polarization dependencies, magnetic field configurations, reference measurements) evaluate ODMR spectra and derive local stress parameters implement and document analysis workflows in Python (automation
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discipline Knowledge of Machine Learning and Deep Learning methods Experience with Python and common machine learning frameworks such as PyTorch, TensorFlow, or Scikit-Learn Interest in data-driven research