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data-processing and visualization workflows using Python. Be part of change Data Handling & Software Skills: You are proficient in manipulating raw measurement data using software tools and programming
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Your Job: JuPedSim https://jupedsim.org is a platform for simulating people flows, developed in C++ with a Python API and a C interface to SUMO https://eclipse.dev/sumo/ . A React-based web
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of Tübingen and part of the Developmental Computational Psychiatry research group, which is located both at Tübingen and the Max Planck UCL Centre for Computational Psychiatry and Ageing Research in London. You
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the consortium Your Profile: Excellent Master and subsequent PhD in computer science, engineering, biophysics, applied mathematics, computational biology or a related field Proven programming expertise in Python
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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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part of the Forschungsverbund Berlin (https://www.fv-berlin.de/ ) and the Leibniz Association (https://www.leibniz-gemeinschaft.de ). You can find more details on the institute webpage: https://www.ikz
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, and sleep stages using Python Contributing to and shaping cross-species computational modeling Leading publications and presenting results at international conferences Mentoring junior researchers and
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(e.g. fuel cells, batteries, heterogeneous catalysts, interfaces) Proficiency in high-level programming languages, e.g. Python Previous supervision of graduate students, as well as laboratory
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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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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 14 hours ago
-driven AI workflows (e.g., task decomposition, planning, tool integration, validation loops) for real-world research scenarios. Develop and maintain production-quality software (primarily Python) to enable