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programming skills in one or more languages (Matlab, Python, R, C, Fortran) excellent knowledge of English (written and spoken) high degree of motivation, creativity, and flexibility ability and willingness
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themselves with new subject areas. Both working independently and working in a team, e.g. during the measurement campaigns, is particularly demanding. Knowledge of programming languages such as Python is an
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defects of smectic-liquid crystal order in developing cross-striated muscle, or use machine-learning to expand existing custom-built image analysis pipelines (Python, Matlab). To learn more about this
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experimental and laboratory work Experience with programming in Python Fluency in speaking and writing English Previous experience with scanning probe microscopy would be an advantage Our Offer: We work on the
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Basic knowledge of programming (e.g. Python, C, Matlab), or willingness to learn Excellent cooperation and communication skills and ability to work as part of the team Excellent organizational skills High
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for challenging mathematical problems and interdisciplinary collaboration Relevant experience with programming languages (preferably Python) You work independently, in a structured and reliable manner. You are
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psychophysics • Experience with a high-level programming language such as MATLAB or Python • Excellent English communication skills and a collaborative mindset • German language skills are not required but
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boundary layer and wind energy applications You have very good skills in programming for data analysis (python, shell scripts, FORTRAN and/or comparable) of different formats (e.g., netCDF, ASCII) and from
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Programming skills (Python) and acquaintance with modern machine learning frameworks (PyTorch/JAX) are strong advantages The university seeks to raise the number of women in research and teaching and therefore
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, Environmental science, Geosciences or related fields programming experience in Python or extensive experience in another high-level programming language is a prerequisite experience in geospatial data science