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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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economics, health, labor markets) and a desire of getting a glimpse into rigorous, applied research. Prior experience in handling and analyzing data using statistical software packages such as STATA and/or R
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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
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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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expertise, from software engineering and biomedical data management to statistical and bioinformatics analysis, as well as lab automation and advanced screening technologies. Embedded in this multi
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team in the analysis of newly collected survey data. You will compile summary statistics, create informative graphs and help interpret the obtained results. You will gain an insight
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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
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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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and statistical methods to detect and characterize trait-associated sequence variation from short and long-read sequencing data. We are looking for a motivated researcher who is eager to work on cutting