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Python Fluent in both written and spoken English Additional Information Benefits Our institution is based on an interdisciplinary, innovative and dynamic collaboration. You will profit from a systematic
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motivated individual to develop Python tools for analyzing data from our holographic cloud particle imagers. Our research group studies the crucial role of clouds and aerosols in the climate system, aiming
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automation, data science, python. The ability to collaborate in a multidisciplinary research environment is essential. Personal initiative, ability to work systematically, reliability, responsibility, teamwork
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analysis, and experimental techniques Background in condensed matter physics or materials science Programming skills (C++, Python, ROOT) are a strong asset Good command of English (spoken and written
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techniques and the physical principles behind them Interest in scientific programming using Python Excellent communication skills and ability to integrate easily into interdisciplinary research team Additional
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Required Experience: PhD in Geodesy, Geomatics, Aerospace Engineering, Signal Processing, or a related field Proven experience in GNSS data analysis and processing Very good programming skills (e.g., Python
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sorting, calcium imaging, long-term tracking). • Experience with behavioral tracking and multimodal dataset integration. • Proficiency in Python, MATLAB, scientific computing, and pipeline development
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Master’s degree in Computer Science, AI, Machine Learning, Mathematics, Electrical Engineering, or a closely related field; or Master’s degree in Medicine (MD) with strong Python skills and some ML
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running data-driven or hybrid hydrological models Strong programming skills (ideally in Python and/or R) Experience in working with large datasets, ideally hydrological, meteorological or climate
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programming skills in Python Experience with machine learning systems or LLM-based architectures Experience working with complex data systems or developing applied AI prototypes Familiarity with modern AI tools