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the potential ability to perform the essential functions of the job as outlined in the position description. Preferences Proficiency in one or more programming languages (Python, R, SQL, MatLab, etc.) Background
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with clinical populations or translational research settings. Strong programming skills (e.g. Python, MATLAB, R) and experience with statistical modelling or machine learning. A strong publication record
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(e.g., Python, MATLAB, or similar). Excellent analytical, communication, and teamwork skills. A collaborative mindset and the ability to work in multidisciplinary and international teams. You are
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software (preferably R; but also Python, C++, Matlab are considered) Very good English language skills (level C1), German language skills not required Strong motivation to work in an interdisciplinary
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machine learning, deep learning, or data assimilation. Experience with scientific programming (Python, R, MATLAB, etc.) and geospatial tools (ArcGIS, QGIS, GDAL, GeoPandas, etc.). Demonstrated publication
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requirements: Experience in fluid-structure interaction, numerical modeling, dynamic analysis of offshore structures and/or processing of sensor data. Skills in scientific programming (Python, MATLAB
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science, physics, chemistry, or equivalent experience. Demonstrated experience with coding (MATLAB, Perl, Python, Jupyter, C, etc.) and quantum chemistry software (VASP, CP2K, quantum espresso, wien2k
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models or glioblastoma research Familiarity with transcriptomic methods (RNA-seq, FISH, spatial transcriptomics) Programming skills for data analysis (Python, R, or MATLAB) We offer Funding: Full position
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circumstances the doctoral degree can have been completed earlier. Other requirements: very good knowledge of English, in speech and writing; knowledge and experience in programming (Python, Matlab or similar
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, transforms, optimization). Programming and simulation experience (for example MATLAB, Python). Strong written and oral communication skills in English. Ability to work independently and in teams. Curious