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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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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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of Agricultural Sciences at ETH Zurich investigates animal (epi-)genomes and transcriptomes. The group applies bioinformatics and statistical methods to detect and characterize trait-associated sequence variation
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data management to statistical and bioinformatics services. Embedded in this multi-disciplinary facility, the screening and lab automation group specialises in screening technologies, assay development