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security standards, while allowing an high-degree of flexibility for end-user scientist to experiment with cutting edge biomedical research - from classical bioinformatics and statistics to large-scale data
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. The student will also benefit from interdisciplinary and interinstitutional collaboration with international experts in machine learning, seismic monitoring/imaging, statistical seismology, and geomechanical
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international experts in machine learning, seismic monitoring/imaging, statistical seismology, and geomechanical modelling. Project team members include Dr. Federica Lanza (ETH Zürich), Dr. Luigi Passarelli (INGV
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English. Willingness to contribute towards an empirical project. Ability to speak and understand German and/or French.) Excellent knowledge of research methods and statistics; ideally you are familiar with
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). Proficiency in the statistical software package Stata and/or R (Python is a plus) Prior experience with data cleaning and management Fluency in German and English Excellent writing skills (in German and English
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the statistical software package Stata and/or R (Python is a plus) Prior experience with data cleaning and management Fluency in German and English Excellent writing skills (in German and English) Very good