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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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learning is required; familiarity with contrastive learning, computer vision, or geospatial data is welcome Very good programming skills (Python, C++, etc.) are essential Fluent English language skills
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FEM simulation (preferably Abaqus or Ansys) is required Prior knowledge of machine learning and experience in programming skills (preferably Python) is required Knowledge of Physics Informed Neural
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atmospheric chemistry and in laboratory and field work. Experience with lasers, optics, spectroscopy, data analysis or programming (for example Python) is helpful. Willingness to travel for the campaigns
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, you have developed a sound understanding of the use of simulation and data analysis software (e.g., ANSYS, MATLAB, and Python). Do you also have experience in developing FE models of complex systems
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Knowledge in the field of Machine Learning, including training, inference, and optimisation of transformer architectures. Knowledge in the field of ML security is desirable. Good Python skills, especially
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good to very good grades Programming experience, especially good to very good knowledge of Python Experience with machine learning, in particular with neural networks and their implementation (PyTorch
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& Automatisierung: Entwicklung benutzerdefinierter APIs und unterschiedlicher Skripte (vorwiegend in Python) zur Automatisierung von Workflows in den Bereichen Datenerfassung, Text-Mining und Verarbeitung natürlicher
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programming skills, particularly in Python, and experience with relevant frameworks and libraries such as PyTorch, PyTorch Geometric, and OpenCV. Practical experience implementing machine learning, computer
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STEM techniques. Python based data analysis of TEM data