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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 11 days ago
for noise suppression is desirable. Knowledge of Labview, C/C++, Python is desirable. Experience in electronics development (schematics design and layout of printed circuit boards) in analog and digital
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in Python with knowledge of NumPy, Pandas, SQL, Bash, Docker, git, etc. Willingness to clean large, messy datasets Excitement about clean, structured code Conscientiousness in implementing, testing
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programming • Interest in geoscience and exploitation of data • Knowledge of hosting services like GitLab • Knowledge in Python, FORTRAN, MATLAB, HTML, or similar. Experience with Typo-3 is appreciated
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Science, Transportation Research Part B, or conferences such as SIGKDD, ITSC, CIKM) Strong programming skills in Python Strong interest in scientific research with the goal of obtaining a doctoral degree
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or for multiobjective optimization problems. Implement the developed algorithms (e.g., in Python) and evaluate their practical performance on artificial and/or real-world data. Teach tutorials (in English) for
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with mult-omics data integration is a plus. Proficient programming skills (e.g., Python, Bash, R), with familiarity in machine learning frameworks and version control (Git); capable of writing clean
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engineering or a comparable subject with natural sciences background. You have basic programming skills, preferably in Python. You have good language skills in German or English. You enjoy experimental and
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good English skills, including scientific writing Advanced data analysis skills using Python Basic knowledge of animal cognition We welcome diversity and therefore welcome applications from qualified
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practical experience in at least one programming language (preferably Python) Ideally, some practical experience in material characterization methods Structured and analytical thinking as well as a systematic
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of seismic methods and numerical simulations, Good PC and programming skills (e.g., with Python, MATLAB), Experience with measurement techniques and field measurements using sensor technology (ideally using