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Field
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(e.g. Python) preferable You have already taken on responsibility, e.g. in supervising doctoral students, leading small teams or in coordinating research roles, and would now like to develop
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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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, chemical engineering, or a related field Experience in modeling (e.g. using Aspen, AVEVA, Python) is an advantage but not required Knowledge of thermodynamics, process engineering, and electrochemistry is a
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. This requires proficiency in Python and familiarity with modern ML libraries. Scope: Identifying and formalizing evaluation properties for concept-based XAI methods Adapting an existing benchmark suite
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Extensive knowledge of X-ray methods Knowledge of synchrotron science Knowledge of catalysis Experience in energy storage Experience with programming languages (ideally Python) Fluent in written and spoken
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) Collecting and analyzing experimental data (using MATLAB, Python, Excel, etc.) Preparing figures or reports for presentations or publications What you bring to the table Basics of microfluidics and micropumps
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experimental systems for cryogenic measurements Development of a microwave quantum control & readout stack Development of Python code to operate quantum systems Detailed experimental characterization
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are expected. Knowledge in parallel programming is desirable. Prior knowledge in differential-algebraic equations, Gaussian processes or kernel based methods is a plus; programming experience in Python or C/C
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Python programming, allowing you to broaden your research experience besides your studies. Furthermore, you will collaborate with a highly experienced research team with interdisciplinary backgrounds. Here
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studying Mechanical, Civil or Wind Energy Engineering in a master´s program. Do you have experience using Python and have already had some touchpoints with wind energy and system engineering? You understand