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-scale datasets using software tools like Python Familiarity with operating systems such as Linux/Unix Good programming skills, preferably in Fortran and/or Python Good command of written and spoken
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engineering, computational engineering science or a comparable engineering degree programme You are already familiar with programming in Python and have gained initial insights into data science and signal
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way and integrate a large number of different sensors. The data evaluation and modeling of the process will then take place in Python. This involves, for example, the construction of modular systems
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carried out in Python. This includes, for example, the construction of modular systems for vaccine production or the drug coating of balloon catheters. Possible areas of responsibility: Selection and
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using the programming language Fortran. Experience or willingness to run numerical models on parallelized supercomputers. Experience in the analysis of model output using Python or a similar high-level
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Application and maintenance of measurement technology and sensors (electrical, acoustic, thermal) Participation in data analysis and development of AI-based evaluation methods (e.g., in Python, MATLAB) Planning
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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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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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integrated with a robotic head) for cell contact and impedance measurement Analysis and preprocessing of EIS data Integration and deployment of an existing ML model (e.g., as a Python module, API, or embedded