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, magnetic fields) and programming skills (e.g. Python) are desirable. Remuneration is based on the TV-L (EG 13, 26 h/week). The contract is limited to 3 years, which is the project duration, set by the German
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chemistry is highly desirable excellent problem-solving skills and analytical thinking proficiency in programming (e.g., Python) is an advantage good communication skills and the ability to work in a
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logic) Data analysis and signal processing (e.g. in Python / MATLAB) Literature research and preparation of short summaries or figures You do not need to already know all tools (COMSOL, Unity, etc.). You
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learning, medical image computing, biomedical engineering, medical physics, or related field Strong Python and PyTorch experience Solid publication record and ability to communicate research results
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, natural science, quantitative science or in related fields affinity to programming, including programming in MATLAB, Python, or similar advanced English communication skills strong analytical skills strong
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of Python German language skills Required Documents CV Certificates Transcripts Application https://stellen.uni-kassel.de/jobposting/43adda426450194ce164d3ac1c9f5f98f49464dd0 https://www.uni-kassel.de/fb10
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-based sensor data (signal processing, feature engineering) Setting up and maintaining data pipelines: sensor data acquisition, storage (e.g., databases), and processing Use of Python (including TensorFlow
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of X-ray methods Knowledge of X-ray optics Knowledge of synchrotron science Knowledge of catalysis and energy storage Experience with programming languages (ideally Python), SPS controls system Fluent in
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of machine learning or quantum computing Programming skills in Python and/or C/C++ Experience with scientific software tools and numerical libraries Familiarity with Linux-based computing environments Ability
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materials synthesis and characterization familiarity with operando or in situ techniques basic programming or data-analysis skills (e.g. Python, MATLAB) experience in collaborative or international research