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Field
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magnetoencephalography (MEG) and behavioral tests Data analysis using Matlab or Python (speech-brain interactions, synchronicity measurements, connectivity measurements between sources) Presentation and publication
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. SR, FEL) would be an asset Knowledge of programming languages, Matlab, C++ or Python For additional information, please contact Michael Meyer (michael.meyer@xfel.eu ). Working place will be Schenefeld
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, including writing well-documented, reusable code (Python or R) Collaborate closely with project partners in an interdisciplinary context Present, publish and communicate research results at scientific
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) or of bioinformatics (programming skills, R or Python, statistics, analysis of complex datasets) Ability to work independently and to take initiative, as well as teamwork skills German language skills at B1 level are
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) Experience in cellular and molecular biology, including histology and cell culture (required) Familiarity with using R and/or Python for answering biological questions (required) An enthusiastic and friendly
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the laboratory Electromagnetic simulation of circuits, antennas, filters, and related structures Programming by means of MATLAB, Python, C What you contribute Full-time student of electrical engineering or a
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expertise in object-oriented programming in Python, data modeling, and scientific workflows experience in collaborative Linux-based development using Git knowledge of Python-based type systems and schemas
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with the microfluidic live-cell imaging platform and provide Python/Jupyter-based tools for collaborators, contributing to FAIR datasets and open-source software (Co-)Supervise student projects at BSc
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knowledge with Python and MATLAB from your studies or other previous experience? Furthermore, you are interested in data processing, signal conditioning, and measurement technology. Do you already have some
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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