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developing a machine learning (ML) algorithm for the automated analysis of the above-mentioned mass spectra. Desirable: - knowledge in the field of Planetary Sciences - very good written and spoken English (C1
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adsorption of guest molecules in the pores, ionic conductivity and (opto-) electronic properties of these functional films as well as their applications, e.g. for molecular separation and as unique sensors
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Dust Analyser onboard the Cassini space probe - Collaboration with a computer scientist who is developing a machine learning (ML) algorithm for the automated analysis of the above-mentioned mass spectra
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-resolution behavioral data. Manage hardware (cameras, sensors) and software pipelines for continuous monitoring. • Computational Modeling: Develop and apply statistical or machine learning models (in Python