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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/39207 Job Number SE181824 Position Information Department or Unit Name Environmental
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-structure-sediment interactions Post-processing and analysis of large datasets using Python/MATLAB Supervision of project-related student internships and master theses Dissemination of results through
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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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(e.g., Python, MATLAB), statistical programming languages (e.g., R, SPSS, SAS), and/or stimulus presentation software (e.g., Psychtoolbox, Presentation, ExperimentBuilder, PsychoPy) is desired. 5
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cálculo empleadas para diseño óptico, así como un buen conocimiento en programación con Matlab y Maple. Specific Requirements Titulación Académica: Doctorado en Física/ Ingeniería
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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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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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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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safe handling of chemicals, data collection, and analytical techniques such as chromatography or spectroscopy. Experience with data analysis tools (e.g., Excel, MATLAB, or Python) and basic process
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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