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practical experience at large scale facility (e.g. SR, FEL) Knowledge of programming languages, Matlab, C++ or Python For additional information, please contact Dr. Michael Meyer (michael.meyer@xfel.eu
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mechanics) with data-driven techniques. • Proficiency in Python (NumPy, TensorFlow/PyTorch) and MATLAB. • Familiarity with deep learning architectures, particularly recurrent neural networks (e.g., LSTM) and
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related fields. Quantitative/data analysis skills (Python, MATLAB, or similar). Hands-on experience in single-molecule techniques. Driven, organized, and team-oriented with a solid publication record
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knowledge of English, both written and spoken Requirements for the position are: experience of programming for data analysis, for example in Python, MATLAB, R, or similar collaborative and able to work in a
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and optical aperture synthesis) and testing (calibration and performance verification). You are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship
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developed prototype brain signal analysis tool written in Python and MATLAB into a robust, user-friendly, and deployable software application using C++/Java that can be used by external users such as
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libraries (Numpy, PyQT/PySide6, Pandas), but may also involve the use of MATLAB/Simulink and C++. At direction of faculty investigator, develop and integrate new hardware devices into the existing software
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., MATLAB, Python) Understanding of thermodynamics and gas transport processes Ability to develop, implement, and test numerical algorithms Ability to work independently and collaboratively in a research team
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