20 Statistics "WSL Institute for Snow and Avalanche Research" positions in PhD in Switzerland
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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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. 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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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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machine learning, seismic monitoring/imaging, statistical seismology, and geomechanical modelling. Project team members include Dr. Federica Lanza (ETH Zürich), Dr. Luigi Passarelli (INGV), and Dr. Antonio
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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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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
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culture, and flow cytometry preparation of deep sequencing libraries for functional genomics experiments bioinformatics, statistics, and programming The candidate must have a strong motivation and interest
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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
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, statistical mechanics, Monte Carlo modelling is an advantage Your workplace Your workplace We offer ETH Zurich is a family-friendly employer with excellent wokring conditions. You can look forward