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Field
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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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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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STEM techniques. Python based data analysis of TEM data
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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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measurement setups and assess their performance using digital signal processing techniques Develop MATLAB and/or Python scripts to automate lab instruments and measurement workflows (e.g., VISA/SCPI-based
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metrology. Hands-on experience with the design, alignment, calibration, or characterization of optical systems. Ideally, programming skills in Python, LabVIEW, Julia, or a comparable programming language. A
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of 5G Non-Terrestrial Networks (NTN) and/or satellite communications, as well as data acquisition and data analysis Proven programming experience, particularly in Python, combined with a willingness to
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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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Biology, or a related computational life-science field. Experience with Python, NGS data analysis and bioinformatics workflows Familiarity with Linux, Git/GitLab, and command-line tools Structured and