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English. Willingness to contribute towards an empirical project. Ability to speak and understand French (highly desired: German and French). Excellent knowledge of research methods and statistics; ideally
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cows - Working in an interdisciplinary team - Preparation and statistical analysis of the data - Authoring of scientific publications and your dissertation in English - Presentations at scientific
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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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learning models application Good background in statistics Good knowledge of English Additional Information Benefits We offer Our institution is based on an interdisciplinary, innovative and dynamic
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, computer science, or related fields. This includes, but is not limited to, psychology, mathematics, engineering, physics, or statistics. Geographical Eligibility: We are seeking candidates who are currently
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of econometrics and first experience with statistical programs such as STATA, R, or Python and a high willingness to attain excellent econometrics skills including on machine learning You are fluent in
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bioinformatics, statistics, and programming The candidate must have a strong motivation and interest in collaboration with multi-disciplinary scientists. They must be able to communicate effectively in a highly
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science, statistics, applied mathematics, or related fields Proficiency in developing and deploying machine learning models (e.g., using Python, R) Experience in data wrangling and feature engineering